Статті в журналах: "High-Precision Mapping"

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Tu, Xinyuan, Jian Zhang, Runhao Luo, Kai Wang, Qingji Zeng, Yu Zhou, Yao Yu, and Sidan Du. "Reconstruction of High-Precision Semantic Map." Sensors 20, no. 21 (November 3, 2020): 6264. http://dx.doi.org/10.3390/s20216264.

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We present a real-time Truncated Signed Distance Field (TSDF)-based three-dimensional (3D) semantic reconstruction for LiDAR point cloud, which achieves incremental surface reconstruction and highly accurate semantic segmentation. The high-precise 3D semantic reconstruction in real time on LiDAR data is important but challenging. Lighting Detection and Ranging (LiDAR) data with high accuracy is massive for 3D reconstruction. We so propose a line-of-sight algorithm to update implicit surface incrementally. Meanwhile, in order to use more semantic information effectively, an online attention-based spatial and temporal feature fusion method is proposed, which is well integrated into the reconstruction system. We implement parallel computation in the reconstruction and semantic fusion process, which achieves real-time performance. We demonstrate our approach on the CARLA dataset, Apollo dataset, and our dataset. When compared with the state-of-art mapping methods, our method has a great advantage in terms of both quality and speed, which meets the needs of robotic mapping and navigation.

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Wang, Qingshan, Jun Zhang, Yuansheng Liu, and Xinchen Zhang. "High-Precision and Fast LiDAR Odometry and Mapping Algorithm." Journal of Advanced Computational Intelligence and Intelligent Informatics 26, no. 2 (March 20, 2022): 206–16. http://dx.doi.org/10.20965/jaciii.2022.p0206.

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LiDAR SLAM technology is an important method for the accurate navigation of automatic vehicles and is a prerequisite for the safe driving of automatic vehicles in the unstructured road environment of complex parks. This paper proposes a LiDAR fast point cloud registration algorithm that can realize fast and accurate localization and mapping of automatic vehicle point clouds through a combination of a normal distribution transform (NDT) and point-to-line iterative closest point (PLICP). First, the NDT point cloud registration algorithm is applied for the rough registration of point clouds between adjacent frames to achieve a rough estimate of the pose of automatic vehicles. Then, the PLICP point cloud registration algorithm is adopted to correct the rough registration result of the point cloud. This step completes the precise registration of the point cloud and achieves an accurate estimate of the pose of the automatic vehicle. Finally, cloud registration is accumulated over time, and the point cloud information is continuously updated to construct the point cloud map. Through numerous experiments, we compared the proposed algorithm with PLICP. The average number of iterations of the point cloud registration between adjacent frames was reduced by 6.046. The average running time of the point cloud registration between adjacent frames decreased by 43.05156 ms. The efficiency of the point cloud registration calculation increased by approximately 51.7%. By applying the KITTI dataset, the computational efficiency of NDT-ICP was approximately 60% higher than that of LeGO-LOAM. The proposed method realizes the accurate localization and mapping of automatic vehicles relying on vehicle LiDAR in a complex park environment and was applied to a Small Cyclone automatic vehicle. The results indicate that the proposed algorithm is reliable and effective.

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3

Liu, Cong, Licheng Wang, Xiaopeng Liu, and Zhihong Xu. "Iterative mapping for high-precision calibration and displacement measurements." Optik 248 (December 2021): 168195. http://dx.doi.org/10.1016/j.ijleo.2021.168195.

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4

Haas, Benedikt, Candice Thomas, Pierre-Henri Jouneau, Nicolas Bernier, Tristan Meunier, Philippe Ballet, and Jean-Luc Rouvière. "High precision strain mapping of topological insulator HgTe/CdTe." Applied Physics Letters 110, no. 26 (June 26, 2017): 263102. http://dx.doi.org/10.1063/1.4989822.

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5

Iwakiri, Yuya, and Toyohisa Kaneko. "High-precision texture mapping on 3D free-form objects." Electronics and Communications in Japan (Part II: Electronics) 89, no. 9 (2006): 24–32. http://dx.doi.org/10.1002/ecjb.20302.

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Cruz, Isabel F., Matteo Palmonari, Federico Caimi, and Cosmin Stroe. "Building linked ontologies with high precision using subclass mapping discovery." Artificial Intelligence Review 40, no. 2 (November 9, 2012): 127–45. http://dx.doi.org/10.1007/s10462-012-9363-x.

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7

Bo, Zheng, Kaichang Di, Bin Liu, Jia Wang, Zhaoqin Liu, Xin Xin, Ziqing Cheng, and Jinkuan Yin. "High-Precision Registration of Lunar Global Mapping Products Based on Spherical Triangular Mesh." Remote Sensing 14, no. 6 (March 16, 2022): 1442. http://dx.doi.org/10.3390/rs14061442.

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Lunar global mapping products provide a solid data foundation for lunar scientific research and exploration. As the widespread geometric inconsistencies among multi-source mapping products seriously affect the synergistic use of the products, high-precision registration of multiple lunar global products is critical, and it is highly challenging due to large coverage and complex local geometric inconsistencies. In this research, we propose a spherical triangular-mesh-based method for high-precision registration of lunar global mapping products, which involves four steps: data preprocessing, feature point extraction and matching, spherical Delaunay triangulation, and geometric correction with spherical barycentric coordinates. This global registration method avoids map projection distortions by using spherical coordinates directly, and achieves high precision by confining the geometric models to spherical triangular facets. Experiments are conducted using two groups of different types of mapping products to verify the proposed method quantitatively and qualitatively. The results show that the geometric inconsistencies are reduced from hundreds of pixels to sub-pixel level globally after the registration, demonstrating the effectiveness of the proposed method.

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Mostafa, M. M. R. "ACCURACY ASSESSMENT OF PROFESSIONAL GRADE UNMANNED SYSTEMS FOR HIGH PRECISION AIRBORNE MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (August 24, 2017): 257–61. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-257-2017.

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Recently, sophisticated multi-sensor systems have been implemented on-board modern Unmanned Aerial Systems. This allows for producing a variety of mapping products for different mapping applications. The resulting accuracies match the traditional well engineered manned systems. This paper presents the results of a geometric accuracy assessment project for unmanned systems equipped with multi-sensor systems for direct georeferencing purposes. There are a number of parameters that either individually or collectively affect the quality and accuracy of a final airborne mapping product. This paper focuses on identifying and explaining these parameters and their mutual interaction and correlation. Accuracy Assessment of the final ground object positioning accuracy is presented through real-world 8 flight missions that were flown in Quebec, Canada. The achievable precision of map production is addressed in some detail.

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Liu, Y., B. Liu, B. Xu, Z. Liu, K. Di, and J. Zhou. "High Precision Topographic Mapping at Chang'E-3 Landing Site with Multi-Source Data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (April 23, 2014): 157–61. http://dx.doi.org/10.5194/isprsarchives-xl-4-157-2014.

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Chang'e-3 (CE-3) is the first lander and rover of China following the success of Chang'e-1 and Chang'e-2 (CE-2) orbiters. High precision topographic mapping can provide detailed terrain information to ensure the safety of the rover as well as to support scientific investigations. In this research, multi-source data are co-registered into a uniform geographic framework for high precision topographic mapping at the CE-3 landing site. CE-2 CCD images with 7 m- and 1.5 m- resolutions are registered using selfcalibration bundle adjustment method with ground control points (GCPs) selected from LRO WAC mosaic map and LOLA DTM. The trajectory of CE-3 descent images are recovered using self-calibration free net bundle adjustment, and then the topographic data is rectified by absolute orientation with GCPs selected from the adjusted CE-2 DEM and DOM. Finally, these topographic data are integrated into the same geographic framework for unified, multi-scale, high precision mapping of the CE-3 landing site. Key technologies and the mapping products of this research have been used to support the surface operations of CE-3 mission.

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10

Yoon, Dasol, Harikrishnan K.P., Yu-Tsun Shao, and David A. Muller. "High-Speed, High-Precision, and High-Throughput Strain Mapping with Cepstral Transformed 4D-STEM Data." Microscopy and Microanalysis 28, S1 (July 22, 2022): 796–98. http://dx.doi.org/10.1017/s1431927622003592.

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11

Shi-Fu Xu, Shi-Fu Xu, and Ya-Nan Jiang Shi-Fu Xu. "An Optimization Method of Knowledge Mapping Relationship Based on Improved Ant Colony Algorithm." 電腦學刊 33, no. 2 (April 2022): 137–47. http://dx.doi.org/10.53106/199115992022043302012.

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The current knowledge mapping relationship optimization methods cannot obtain high-precision information. An optimization method of knowledge mapping relationship based on improved ant colony algorithm is proposed. The high-precision information of the network is obtained by using the cyclic network. The SGP problem is used to replace the optimization problem of the knowledge map relationship. The optimization objective function of the knowledge map relationship is constructed and solved by the improved ant colony algorithm. The optimization of the knowledge map relationship is realized. Experimental results show that the proposed method has high average accuracy, high knowledge accuracy and high knowledge coverage.

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Shi-Fu Xu, Shi-Fu Xu, and Ya-Nan Jiang Shi-Fu Xu. "An Optimization Method of Knowledge Mapping Relationship Based on Improved Ant Colony Algorithm." 電腦學刊 33, no. 2 (April 2022): 137–47. http://dx.doi.org/10.53106/199115992022043302012.

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The current knowledge mapping relationship optimization methods cannot obtain high-precision information. An optimization method of knowledge mapping relationship based on improved ant colony algorithm is proposed. The high-precision information of the network is obtained by using the cyclic network. The SGP problem is used to replace the optimization problem of the knowledge map relationship. The optimization objective function of the knowledge map relationship is constructed and solved by the improved ant colony algorithm. The optimization of the knowledge map relationship is realized. Experimental results show that the proposed method has high average accuracy, high knowledge accuracy and high knowledge coverage.

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13

Sun, Yanjie, Mingguang Wu, Xiaoyan Liu, and Liangchen Zhou. "High-Precision Dynamic Traffic Noise Mapping Based on Road Surveillance Video." ISPRS International Journal of Geo-Information 11, no. 8 (August 4, 2022): 441. http://dx.doi.org/10.3390/ijgi11080441.

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High-precision dynamic traffic noise maps can describe the spatial and temporal distributions of noise and are necessary for actual noise prevention. Existing monitoring point-based methods suffer from limited spatial adaptability, and prediction model-based methods are limited by the requirements for traffic and environmental parameter specifications. Road surveillance video data are effective for computing and analyzing dynamic traffic-related factors, such as traffic flow, vehicle speed and vehicle type, and environmental factors, such as road material, weather and vegetation. Here, we propose a road surveillance video-based method for high-precision dynamic traffic noise mapping. First, it identifies dynamic traffic elements and environmental elements from videos. Then, elements are converted from image coordinates to geographic coordinates by video calibration. Finally, we formalize a dynamic noise mapping model at the lane level. In an actual case analysis, the average error is 1.53 dBA. As surveillance video already has a high coverage rate in most cities, this method can be deployed to entire cities if needed.

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SHIMIZU, Yuko, Taku KITAMURA, Shin-ichiro YAMAMOTO, and Noritaka KAWASHIMA. "1F45 TMS coil navigation System for high precision motor cortex mapping." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2016.28 (2016): _1F45–1_—_1F45–5_. http://dx.doi.org/10.1299/jsmebio.2016.28._1f45-1_.

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15

Nordio, Giovanna, Aurélien Bustin, Markus Henningsson, Imran Rashid, Amedeo Chiribiri, Tevfik Ismail, Freddy Odille, Claudia Prieto, and René Michael Botnar. "3D SASHA myocardial T1 mapping with high accuracy and improved precision." Magnetic Resonance Materials in Physics, Biology and Medicine 32, no. 2 (September 6, 2018): 281–89. http://dx.doi.org/10.1007/s10334-018-0703-y.

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16

Yu, Peidong, Mengke Wang, and Huanjian Chen. "Integration and evaluation of SLAM-based backpack mobile mapping system." E3S Web of Conferences 206 (2020): 03014. http://dx.doi.org/10.1051/e3sconf/202020603014.

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Mobile mapping is an efficient technology to acquire spatial data of the environment. As a supplement of vehicle-borne and air-borne methods, Backpack mobile mapping system (MMS) has a wide application prospect in indoor and underground space. High-precision positioning and attitude determination are the key to MMS. Usually, GNSS/INS integrated navigation system provides reliable pose information. However, in the GNSS-denied environments, there is no effective long-term positioning method. With the development of simultaneous localization and mapping (SLAM) algorithm, it provides a new solution for indoor mobile mapping. This paper develops a portable backpack mobile mapping system, which integrates multi-sensor such as LiDAR, IMU, GNSS and panoramic camera. The 3D laser SLAM algorithm is applied to the mobile mapping to realize the acquisition of geographic information data in various complex environments. The experimental results in typical indoor and outdoor scenes show that the system can achieve high-precision and efficient acquisition of 3D information, and the relative precision of point cloud is 2~4cm, which meets the requirements of scene mapping and reconstruction.

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Prasad, Devendra, Kamali Singla, Vidhu Baggan, and Achal. "System Model for Smart Precision Farming for High Crop Yielding." Journal of Computational and Theoretical Nanoscience 16, no. 10 (October 1, 2019): 4406–11. http://dx.doi.org/10.1166/jctn.2019.8533.

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The meticulous application of Sensing and Machine Learning technology in precision farming has optimized the irrigation resources, improved the quality of crops, minimizes the risk of diseases in fields and reduces the energy consumption. The proper crop management and proper placement of seeds also controls the crop diseases as well as reduces the expenses of irrigation and pesticides etc. The diseases that can be caused in various stages are monitored by proper visual identification of the disease and the precise amount and position of spraying medicine for that plant is calculated. There is a need to build the perfect plans for the water irrigation in order to save the water (around 60% to 70%). The goal is to build solution which would reduce the cost per hectare and could also increase the yields to make farming more profitable. The proposed Smart system optimizes the crop yield by providing, yield mapping, yield monitoring, weed mapping, variable rate fertilizer, variable spraying etc. The System uses drones to gather the information for calculating the crop patterns and analyzing the field so that more area can be captured for the crop plantation in later model.

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Sakamoto, M., K. Tachibana, and H. Shimamura. "GENERATION OF HIGH RESOLUTION AND HIGH PRECISION ORTHORECTIFIED ROAD IMAGERY FROM MOBILE MAPPING SYSTEM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B5 (July 30, 2012): 499–504. http://dx.doi.org/10.5194/isprsarchives-xxxix-b5-499-2012.

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19

Luo, Haoru, and Kechun Liu. "High precision positioning system for autopilot based on multi-sensor fusion." E3S Web of Conferences 257 (2021): 02061. http://dx.doi.org/10.1051/e3sconf/202125702061.

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For autonomous vehicles, autonomous positioning is a core technology in their development. A good positioning system not only helps them efficiently complete autonomous operations, but also improves safety performance. At present, the use of global positioning system (GPS) is a more mainstream positioning method, but in indoor, serious shelter and other environments, GPS signal loss will lead to positioning failure. In order to solve this problem, this paper proposes a method of mapping before positioning, and designs a set of high precision real-time positioning system by combining the technology of multi-sensor fusion. The designed system was carried on a Wuling sightseeing bus, and the mapping and positioning tests were carried out in the Nanhu Campus of Wuhan University of Technology, the East Campus of Mafangshan Campus and the underground garage where GPS signals were lost. The test results show that the system can realize the high precision real-time positioning function of the autonomous vehicle. Therefore, the in-depth study and implementation of this system is of great significance to the promotion and application of the automatic driving industry.

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Wu, Qifan, Ping’an Liu, Lei Dai, and Yachong Tang. "Application of Airborne Radar Variable Altitude Aerial Survey in High Precision Mapping of Mountainous Areas." Journal of Physics: Conference Series 2658, no. 1 (December 1, 2023): 012035. http://dx.doi.org/10.1088/1742-6596/2658/1/012035.

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Abstract This paper studies how to use UAV aerial survey equipment to carry laser radar and high-definition real-scene lenses to achieve high-precision mountain mapping. The study aims to solve the problems of complex terrain, difficulties in surveying, and controlling the accuracy of surveying and mapping in mountainous, canyon, and hilly areas. Firstly, the LK tea production area development project is selected as an example for example analysis. The aerial survey equipment and data acquisition equipment are selected according to the characteristics of the project. Secondly, aiming at the problem that the mountainous terrain undulates greatly and that the accuracy of ground object mapping is difficult to control, this paper puts forward the “variable height aerial survey” method. It collects aerial survey data according to the terrain characteristics. Finally, this paper proposes a “point cloud overlay” modeling method. It combines laser point cloud data with real 3D data to form a high-precision real 3D model point cloud reorganization and establish a high-precision real 3D model.

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Stenvold, Torkjell, Ola Eiken, Mark Zumberge, Glenn Sasagawa, and Scott Nooner. "High-Precision Relative Depth and Subsidence Mapping from Seafloor Water Pressure Measurements." SPE Journal 11, no. 03 (September 1, 2006): 380–89. http://dx.doi.org/10.2118/97752-pa.

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Summary A method to accurately measure seafloor subsidence away from platform locations is presented. The method is based on seafloor water pressure, which is measured on top of predeployed benchmarks visited one after another using a remotely operated vehicle (ROV) and is at the same time measured continuously throughout the survey at one or more reference locations. Because no significant subsidence is expected during a few days of data acquisition, high-precision relative depths representative for the average time of the survey can be obtained. Accurate subsidence estimates between seafloor surveys are found assuming negligible subsidence at benchmarks located outside the field. Results from six seafloor surveys performed at two gas fields in the North Sea are presented. For an area of 1 km2 at 80 m water depth, single-measurement relative depth precision (standard deviation) of 0.4 cm was obtained. Correspondingly, for an area of 700 km2 at 295 to 345 m water depth, 0.6 cm was obtained. Single-station subsidence accuracy down to 1 cm is achieved from the two most recent pressure surveys at the large field. A subsidence signal is seen for this difference, and it is compared with modeled subsidence. Error budgets for depth precision and subsidence, incorporating instrumental and environmental errors, are discussed. Introduction Reservoir compaction caused by the extraction of hydrocarbons usually results in surface subsidence. The most vulnerable fields are those with thick and soft reservoir formations being exposed to a large drop in pore pressure. For such fields, reservoir compaction can be a major energy drive for production that enhances the recovery of the field (Merle et al. 1976). Reservoir compaction can also lead to a reduction in permeability. When significant subsidence occurs, it can cause well failures and costly repairs of surface structures such as platforms and pipelines (Bruno 1992). Subsidence monitoring can improve the safety of field installations, and it may also be used to estimate reservoir behavior and formation properties. Marchina (1996) reported examples of high-accuracy leveling data from the Groningen gas field used to estimate pressure depletion in the aquifer by solving a linear inverse problem, and Nagel (1998) used bathymetry data from the Ekofisk field to achieve estimates of overburden properties.

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22

Hiranaga, Yoshiomi, Takanori Mimura, Takao Shimizu, Hiroshi Funakubo, and Yasuo Cho. "High-precision local C–V mapping for ferroelectrics using principal component analysis." Japanese Journal of Applied Physics 60, SF (August 2, 2021): SFFB09. http://dx.doi.org/10.35848/1347-4065/ac13d9.

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23

Xu, Weihe, Kenneth Lauer, Yong Chu, and Evgeny Nazaretski. "A high-precision instrument for mapping of rotational errors in rotary stages." Journal of Synchrotron Radiation 21, no. 6 (October 2, 2014): 1367–69. http://dx.doi.org/10.1107/s160057751401618x.

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A rotational stage is a key component of every X-ray instrument capable of providing tomographic or diffraction measurements. To perform accurate three-dimensional reconstructions, runout errors due to imperfect rotation (e.g.circle of confusion) must be quantified and corrected. A dedicated instrument capable of full characterization and circle of confusion mapping in rotary stages down to the sub-10 nm level has been developed. A high-stability design, with an array of five capacitive sensors, allows simultaneous measurements of wobble, radial and axial displacements. The developed instrument has been used for characterization of two mechanical stages which are part of an X-ray microscope.

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Yang, Junliang, Tang Li, Ye Zhu, Xiaowei Zhang, Atsushi Waseda, and Hiroyuki Fujimoto. "High-efficiency ultra-precision comparator for d-spacing mapping measurement of silicon." Journal of Synchrotron Radiation 27, no. 3 (March 13, 2020): 577–82. http://dx.doi.org/10.1107/s1600577520001496.

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This article describes a high-efficiency experimental configuration for a self-referenced lattice comparator with a `brush beam' of synchrotron radiation from a bending magnet and two linear position-sensitive photon-counting-type X-ray detectors. The efficiency is more than ten times greater compared with the `pencil-beam' configuration and a pair of zero-dimensional detectors. A solution for correcting the systematic deviation of d-spacing measurements caused by the horizontal non-uniformity of the brush beam is provided. Also, the use of photon-counting-type one-dimensional detectors not only improves the spatial resolution of the measurements remarkably but can also adjust the sample's attitude angles easily.

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Jones, Lewys, Sigurd Wenner, Magnus Nord, Per Harald Ninive, Ole Martin Løvvik, Randi Holmestad, and Peter D. Nellist. "Optimising multi-frame ADF-STEM for high-precision atomic-resolution strain mapping." Ultramicroscopy 179 (August 2017): 57–62. http://dx.doi.org/10.1016/j.ultramic.2017.04.007.

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Baker, James E. "Terrain following and mapping of arbitrary surfaces using high- precision proximity data." Optical Engineering 32, no. 5 (1993): 1117. http://dx.doi.org/10.1117/12.133328.

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Liu, ZhaoQin, KaiChang Di, Man Peng, WenHui Wan, Bin Liu, LiChun Li, TianYi Yu, BaoFeng Wang, JianLiang Zhou, and HongMin Chen. "High precision landing site mapping and rover localization for Chang’e-3 mission." Science China Physics, Mechanics & Astronomy 58, no. 1 (November 15, 2014): 1–11. http://dx.doi.org/10.1007/s11433-014-5612-0.

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Chao, Chen, Wang ShuYi, Liu Jie, and Wu Sen Tang. "Control System Design Technique and Validation for A High-Resolution Mapping Satellite." E3S Web of Conferences 233 (2021): 04041. http://dx.doi.org/10.1051/e3sconf/202123304041.

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With the rapid development of the national economy, the digital city and smart city have become the development trends of China’s urbanization, proposing higher and higher requirements for earth mapping. The emergence of high-resolution mapping satellites has satisfied the demand for national economic development. Since China’s first satellite measuring scale of 1:10,000 was launched in 2019, thus GF-7 satellite has realized the arc-second attitude measurement accuracy, where the degree of stability reached 10- 5°/s. Based on the author’s multi-year research on the design of high-resolution satellite control system, the key technologies and design methods for the high-precision attitude measurement and control system were expounded, the validation results were explained, and the future direction for improving the control precision of the high-resolution mapping satellite was proposed in the end.

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van Leusen, Martijn, Glynn Barratt, and Vince Gaffney. "The Viroconium Cornoviorum Atlas: high resolution, high precision non-invasive mapping of a Roman civitas capital in Britain." European Journal of Archaeology 2, no. 3 (1999): 393–405. http://dx.doi.org/10.1179/eja.1999.2.3.393.

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Accurate mapping of the 78-ha Roman town of Viroconium (modern-day Wroxeter in Shropshire, UK) in preparation for detailed research and site management proved a task that requires the use of modern information techniques. This article describes the creation of high spatial accuracy maps by the use of GPS-located gradiometer survey data in order to georeference available aerial photographs, and the use of digital processing of aerial photographs to obtain additional information invisible to the unaided eye. A GIS is being used to build a vectorized interpreted map of the town with a spatial error typically less than one metre. The results compare favourably with previous mapping efforts based on traditional methods.

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Wang, Xinshuang, Lingling Liu, Xiaoliang Shi, Xitao Huang, and Wei Geng. "A HIGH PRECISION DEM EXTRACTION METHOD BASED ON INSAR DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-3 (April 23, 2018): 211–16. http://dx.doi.org/10.5194/isprs-annals-iv-3-211-2018.

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In the 13th Five-Year Plan for Geoinformatics Business, it is proposed that the new InSAR technology should be applied to surveying and mapping production, which will become the innovation driving force of geoinformatics industry. This paper will study closely around the new outline of surveying and mapping and then achieve the TerraSAR/TanDEM data of Bin County in Shaanxi Province in X band. The studying steps are as follows; Firstly, the baseline is estimated from the orbital data; Secondly, the interferometric pairs of SAR image are accurately registered; Thirdly, the interferogram is generated; Fourth, the interferometric correlation information is estimated and the flat-earth phase is removed. In order to solve the phase noise and the discontinuity phase existing in the interferometric image of phase, a GAMMA adaptive filtering method is adopted. Aiming at the "hole" problem of missing data in low coherent area, the interpolation method of low coherent area mask is used to assist the phase unwrapping. Then, the accuracy of the interferometric baseline is estimated from the ground control points. Finally, 1&thinsp;:&thinsp;50000&thinsp;DEM is generated, and the existing DEM data is used to verify the accuracy through statistical analysis. The research results show that the improved InSAR data processing method in this paper can obtain the high-precision DEM of the study area, exactly the same with the topography of reference DEM. The R2 can reach to 0.9648, showing a strong positive correlation.

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Bai, Chengchao, Jifeng Guo, and Hongxing Zheng. "High-precision navigation and positioning of celestial exploration rover based on depth camera." Aircraft Engineering and Aerospace Technology 91, no. 7 (July 8, 2019): 961–66. http://dx.doi.org/10.1108/aeat-09-2017-0200.

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Purpose The purpose of this paper is to verify the correctness and feasibility of simultaneous localization and mapping (SLAM) algorithm based on red-green-blue depth (RGB-D) camera in high precision navigation and localization of celestial exploration rover. Design/methodology/approach First, a positioning algorithm based on depth camera is proposed. Second, the realization method is described from the five aspects of feature detection method, feature point matching, point cloud mapping, motion estimation and high precision optimization. Feature detection: taking the precision, real-time and motion basics as the comprehensive consideration, the ORB (oriented FAST and rotated BRIEF) features extraction method is adopted; feature point matching: solves the similarity measure of the feature descriptor vector and how to remove the mismatch point; point cloud mapping: the two-dimensional information on RGB and the depth information on D corresponding; motion estimation: the iterative closest point algorithm is used to solve point set registration; and high precision optimization: optimized by using the graph optimization method. Findings The proposed high-precision SLAM algorithm is very effective for solving high precision navigation and positioning of celestial exploration rover. Research limitations/implications In this paper, the simulation validation is based on an open source data set for testing; the physical verification is based on the existing unmanned vehicle platform to simulate the celestial exploration rover. Practical implications This paper presents a RGB-D camera-based navigation algorithm, which can be obtained by simulation experiment and physical verification. The real-time and accuracy of the algorithm are well behaved and have strong applicability, which can support the tests and experiments on hardware platform and have a better environmental adaptability. Originality/value The proposed SLAM algorithm can deal with the high precision navigation and positioning of celestial exploration rover effectively. Taking into account the current wide application prospect of computer vision, the method in this paper can provide a study foundation for the deep space probe.

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Zuo, Jian-Min, Renliang Yuan, Honggyu Kim, and Jiong Zhang. "Developing High Resolution and High Precision Strain Mapping Methodologies for Materials Research and Semiconductor Technology." Microscopy and Microanalysis 24, S1 (August 2018): 966–67. http://dx.doi.org/10.1017/s1431927618005329.

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Schroder, Whittaker, Timothy Murtha, Charles Golden, Andrew K. Scherer, Eben N. Broadbent, Angélica M. Almeyda Zambrano, Kelsey Herndon, and Robert Griffin. "UAV LiDAR Survey for Archaeological Documentation in Chiapas, Mexico." Remote Sensing 13, no. 23 (November 23, 2021): 4731. http://dx.doi.org/10.3390/rs13234731.

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Airborne laser scanning has proven useful for rapid and extensive documentation of historic cultural landscapes after years of applications mapping natural landscapes and the built environment. The recent integration of unoccupied aerial vehicles (UAVs) with LiDAR systems is potentially transformative and offers complementary data for mapping targeted areas with high precision and systematic study of coupled natural and human systems. We report the results of data capture, analysis, and processing of UAV LiDAR data collected in the Maya Lowlands of Chiapas, Mexico in 2019 for a comparative landscape study. Six areas of archaeological settlement and long-term land-use reflecting a diversity of environments, land cover, and archaeological features were studied. These missions were characterized by areas that were variably forested, rugged, or flat, and included pre-Hispanic settlements and agrarian landscapes. Our study confirms that UAV LiDAR systems have great potential for broader application in high-precision archaeological mapping applications. We also conclude that these studies offer an important opportunity for multi-disciplinary collaboration. UAV LiDAR offers high-precision information that is not only useful for mapping archaeological features, but also provides critical information about long-term land use and landscape change in the context of archaeological resources.

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Zhou, Jingping, Yaping Xu, Xiaohe Gu, Tianen Chen, Qian Sun, Sen Zhang, and Yuchun Pan. "High-Precision Mapping of Soil Organic Matter Based on UAV Imagery Using Machine Learning Algorithms." Drones 7, no. 5 (April 26, 2023): 290. http://dx.doi.org/10.3390/drones7050290.

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Soil organic matter (SOM) is a critical indicator of soil nutrient levels, and the precise mapping of its spatial distribution through remote sensing is essential for soil regulation, precise fertilization, and scientific management and protection. This information can offer decision support to agricultural management departments and various agricultural producers. In this paper, two new soil indices, NLIrededge2 and GDVIrededge2, were proposed based on the sensitive spectral response characteristics of SOM in Northeast China. Nine parameters suitable for SOM mapping and modeling were determined using the competitive adaptive reweighted sampling (CARS) method, combined with spectrum reflectance, mathematical transformations of reflectance, vegetation indices, and so on. Then, utilizing unmanned aerial vehicle (UAV)-based multispectral images with centimeter-level resolution, a random forest machine learning algorithm was used to construct the inversion model of SOM and mapping SOM in the study area. The results showed that the random forest algorithm performed best for estimating SOM (R2 = 0.91, RMSE = 0.95, MBE = 0.49, and RPIQ = 3.25) when compared with other machine learning algorithms such as support vector regression (SVR), elastic net, Bayesian ridge, and linear regression. The findings indicated a negative correlation between SOM content and altitude. The study concluded that the SOM modeling and mapping results could meet the needs of farmers to obtain basic information and provide a reference for UAVs to monitor SOM.

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Liu, Feng Qin, Yi Guang Zhang, Zhen Chao, and Peng Miao. "Fast Tone Mapping Based on Sorting." Applied Mechanics and Materials 397-400 (September 2013): 2318–21. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2318.

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Visualizing high dynamic range image or video on traditional display devices need fast tone mapping technique. Traditional bin-based histogram equalization is fast enough but cannot handle high dynamic range data, e.g. single or double precision. Other common tone mapping methods require a high computational complexity. In this paper, we propose a new continuous data equalization method based on simple sorting, which can quickly and efficiently enhance the visualization of high dynamic range data. This method can be applied to real-time visualization of high dynamic range video with cost effective hardware acceleration.

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May, Jody C., James N. Dodds, Ruwan T. Kurulugama, George C. Stafford, John C. Fjeldsted, and John A. McLean. "Broadscale resolving power performance of a high precision uniform field ion mobility-mass spectrometer." Analyst 140, no. 20 (2015): 6824–33. http://dx.doi.org/10.1039/c5an00923e.

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Luo, Z. W., Chung-I. Wu, and M. J. Kearsey. "Precision and High-Resolution Mapping of Quantitative Trait Loci by Use of Recurrent Selection, Backcross or Intercross Schemes." Genetics 161, no. 2 (June 1, 2002): 915–29. http://dx.doi.org/10.1093/genetics/161.2.915.

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Abstract Dissecting quantitative genetic variation into genes at the molecular level has been recognized as the greatest challenge facing geneticists in the twenty-first century. Tremendous efforts in the last two decades were invested to map a wide spectrum of quantitative genetic variation in nearly all important organisms onto their genome regions that may contain genes underlying the variation, but the candidate regions predicted so far are too coarse for accurate gene targeting. In this article, the recurrent selection and backcross (RSB) schemes were investigated theoretically and by simulation for their potential in mapping quantitative trait loci (QTL). In the RSB schemes, selection plays the role of maintaining the recipient genome in the vicinity of the QTL, which, at the same time, are rapidly narrowed down over multiple generations of backcrossing. With a high-density linkage map of DNA polymorphisms, the RSB approach has the potential of dissecting the complex genetic architecture of quantitative traits and enabling the underlying QTL to be mapped with the precision and resolution needed for their map-based cloning to be attempted. The factors affecting efficiency of the mapping method were investigated, suggesting guidelines under which experimental designs of the RSB schemes can be optimized. Comparison was made between the RSB schemes and the two popular QTL mapping methods, interval mapping and composite interval mapping, and showed that the scenario of genomic distribution of QTL that was unlocked by the RSB-based mapping method is qualitatively distinguished from those unlocked by the interval mapping-based methods.

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38

Gruber, M., B. Schachinger, and M. Mostafa. "THE NEXT GENERATION VEXCEL IMAGING 3D CITY MODELLING USING DIRECTLY GEOREFERENCED DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2022 (May 30, 2022): 309–16. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2022-309-2022.

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Abstract. Since their first wide scale adoption after WWII, airborne cameras have continuously served the airborne mapping profession for over seven decades. During this time, they evolved to be meticulously designed, engineered, and most importantly built with the lens geometry to produce high precision mapping products. Mapping Standards have been well established around the globe for federal, state, and municipal governments with these cameras’ capabilities and limitations in mind. On the other hand, in the last two decades, service providers from around the world proved that direct georeferencing systems have been the best and most efficient approach for airborne mapping using large and medium format cameras, especially for 3D city modelling and corridor mapping applications. The state-of-the art today is thus to use a high-end large format camera or an oblique camera including a high-end mapping grade nadir image with an embedded direct georeferencing system to produce high-precision and high-resolution 3D city models without the need or expense of surveying extensive ground control points. This paper presents the results of the state-of-the-art in airborne digital mapping cameras from Vexcel that are tightly integrated with a direct georeferencing solution from Trimble Applanix. Two Flights are presented in this paper, namely: 1) Gleisdorf Calibration and Accuracy Assessment flight, and 2) Graz Map Production Flight.

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Krasnosky, Kristopher, Christopher Roman, and David Casagrande. "A bathymetric mapping and SLAM dataset with high-precision ground truth for marine robotics." International Journal of Robotics Research 41, no. 1 (October 11, 2021): 12–19. http://dx.doi.org/10.1177/02783649211044749.

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In recent years, sonar systems for surface and underwater vehicles have increased in resolution and become significantly less expensive. As such, these systems are viable at a wide range of price points and are appropriate for a broad set of applications on surface and underwater vehicles. However, to take full advantage of these high-resolution sensors for seafloor mapping tasks an adequate navigation solution is also required. In GPS-denied environments this usually necessitates a simultaneous localization and mapping (SLAM) technique to maintain good accuracy with minimal error accumulation. Acoustic positioning systems such as ultra short baseline (USBL) and long baseline (LBL) are sometimes deployed to provide additional bounds on the navigation solution, but the positional uncertainty of these systems is often much greater than the resolution of modern multibeam or interferometric side scan sonars. As such, subsurface vehicles often lack the means to adequately ground-truth navigation solutions and the resulting bathymetic maps. In this article, we present a dataset with four separate surveys designed to test bathymetric SLAM algorithms using two modern sonars, typical underwater vehicle navigation sensors, and high-precision (2 cm horizontal, 10 cm vertical) real-time kinematic (RTK) GPS ground truth. In addition, these data can be used to refine and improve other aspects of multibeam sonar mapping such as ray-tracing, gridding techniques, and time-varying attitude corrections.

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Tang, Jian, Jingren Wen, and Chuang Qian. "A Distributed Indoor Mapping Method Based on Control-Network-Aided SLAM: Scheme and Analysis." Applied Sciences 10, no. 7 (April 2, 2020): 2420. http://dx.doi.org/10.3390/app10072420.

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Indoor mobile mapping techniques are important for indoor navigation and indoor modeling. As an efficient method, Simultaneous Localization and Mapping (SLAM) based on Light Detection and Ranging (LiDAR) has been applied for fast indoor mobile mapping. It can quickly construct high-precision indoor maps in a certain small region. However, with the expansion of the mapping area, SLAM-based mapping methods face many difficulties, such as loop closure detection, large amounts of calculation, large memory occupation, and limited mapping precision. In this paper, we propose a distributed indoor mapping scheme based on control-network-aided SLAM to solve the problem of mapping for large-scale environments. Its effectiveness is analyzed from the relative accuracy and absolute accuracy of the mapping results. The experimental results show that the relative accuracy can reach 0.08 m, an improvement of 49.8% compared to the mapping result without loop closure. The absolute accuracy can reach 0.13 m, which proves the method’s feasibility for distributed mapping. The accuracies under different numbers of control points are also compared to find the suitable structure of the control network.

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Wu, Hanxu, Weiqian Zhao, Yunhao Su, Lirong Qiu, Yun Wang, and He Ni. "Divided-aperture confocal Brillouin microscopy for simultaneous high-precision topographic and mechanical mapping." Optics Express 28, no. 21 (October 6, 2020): 31821. http://dx.doi.org/10.1364/oe.405458.

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Logan, R. W., R. F. Robledo, J. M. Recla, V. M. Philip, J. A. Bubier, J. J. Jay, C. Harwood, et al. "High‐precision genetic mapping of behavioral traits in the diversity outbred mouse population." Genes, Brain and Behavior 12, no. 4 (March 20, 2013): 424–37. http://dx.doi.org/10.1111/gbb.12029.

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43

Nordio, Giovanna, Aurélien Bustin, Markus Henningsson, Imran Rashid, Amedeo Chiribiri, Tevfik Ismail, Freddy Odille, Claudia Prieto, and René Michael Botnar. "Correction to: 3D SASHA myocardial T1 mapping with high accuracy and improved precision." Magnetic Resonance Materials in Physics, Biology and Medicine 32, no. 2 (October 8, 2018): 291. http://dx.doi.org/10.1007/s10334-018-0706-8.

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44

Ren, Ruike, Hao Fu, Hanzhang Xue, Zhenping Sun, Kai Ding, and Pengji Wang. "Towards a Fully Automated 3D Reconstruction System Based on LiDAR and GNSS in Challenging Scenarios." Remote Sensing 13, no. 10 (May 19, 2021): 1981. http://dx.doi.org/10.3390/rs13101981.

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High-precision 3D maps play an important role in autonomous driving. The current mapping system performs well in most circumstances. However, it still encounters difficulties in the case of the Global Navigation Satellite System (GNSS) signal blockage, when surrounded by too many moving objects, or when mapping a featureless environment. In these challenging scenarios, either the global navigation approach or the local navigation approach will degenerate. With the aim of developing a degeneracy-aware robust mapping system, this paper analyzes the possible degeneration states for different navigation sources and proposes a new degeneration indicator for the point cloud registration algorithm. The proposed degeneracy indicator could then be seamlessly integrated into the factor graph-based mapping framework. Extensive experiments on real-world datasets demonstrate that the proposed 3D reconstruction system based on GNSS and Light Detection and Ranging (LiDAR) sensors can map challenging scenarios with high precision.

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45

Schlawin, Everett, Ryan Challener, Megan Mansfield, Emily Rauscher, Arthur Adams, and Jacob Lustig-Yaeger. "Planet Eclipse Mapping with Long-term Baseline Drifts." Astronomical Journal 165, no. 5 (April 21, 2023): 210. http://dx.doi.org/10.3847/1538-3881/acc65a.

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Abstract High-precision lightcurves combined with eclipse-mapping techniques can reveal the horizontal and vertical structure of a planet’s thermal emission and the dynamics of hot Jupiters. Someday, they even may reveal the surface maps of rocky planets. However, inverting lightcurves into maps requires an understanding of the planet, star, and instrumental trends because they can resemble the gradual flux variations as the planet rotates (i.e., partial phase curves). In this work, we simulate lightcurves with baseline trends and assess the impact on planet maps. Baseline trends can be erroneously modeled by incorrect astrophysical planet map features, but there are clues to avoid this pitfall in both the residuals of the lightcurve during eclipse and sharp features at the terminator of the planet. Models that use a Gaussian process or polynomial to account for a baseline trend successfully recover the input map even in the presence of systematics but with worse precision for the m = 1 spherical harmonic terms. This is also confirmed with the ThERESA eigencurve method where fewer lightcurve terms can model the planet without correlations between the components. These conclusions help aid the decision on how to schedule observations to improve map precision. If the m = 1 components are critical, such as measuring the east/west hot-spot shift on a hot Jupiter, better characterization of baseline trends can improve the m = 1 terms’ precision. For latitudinal north/south information from m ≠ 1 mapping terms, it is preferable to obtain high signal to noise at ingress/egress with more eclipses.

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Mostafa, M. M. R., J. Hutton, S. Sobol, L. Viveros, S. Cooper, and Y. Raizman. "HIGH PRECISION FULLY INTEGRATED AIRBORNE DIGITAL MAPPING SYSTEMS – STATE OF THE ART AND PERFORMANCE ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 337–42. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-337-2020.

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Abstract. This paper introduces the Phase One Aerial System 150, a next generation fully integrated fully digital aerial camera system with one single digital camera head and lens which almost matches the perfect geometry of a film camera for all airborne mapping applications. It is the first true replacement for the simplicity, geometry and efficiency established by film cameras for traditional airborne mapping. Several test flights were planned to be flown with the Phase One Aerial System 150 over the Greater Denver Area, Colorado, U.S.A. during the Winter of 2020. Two lenses are planned to be used, namely: 1) 50 mm lens for wide coverage and a geometry closest to that of a film camera which is suitable for most mapping applications, and 2) 90 mm lens which provides a higher resolution (smaller GSD) and a narrower field of view which is suitable for applications where less building lean might be required. Multiple flight altitudes are flown in order to end up with a GSD of 10 cm, and 20 cm, respectively. One dual-altitude flight was planned to characterize and calibrate the integrated system including camera in-flight calibration and camera/IMU boresight calibration. The remaining flights are planned to be used to validate system accuracy and productivity as well as the mapping product accuracy. Due to the Covid-19 pandemic and poor weather, only one full dual-altitude light has been flown. Therefore, system calibration, assessment, and validation are done using this single test flight. The remainder of the test flights intended for map production evaluation and accuracy assessment will be flown during the Spring of 2020, which results will be shared with the ISPRS audience during the congress presentations.

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Xiao, Guoyao, Qianhui Dong, Guisheng Liao, Shuai Li, Kaijie Xu, and Yinghui Quan. "High-Precision Joint TDOA and FDOA Location System." Remote Sensing 16, no. 4 (February 16, 2024): 693. http://dx.doi.org/10.3390/rs16040693.

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Passive location based on TDOA (time difference of arrival) and FDOA (frequency difference of arrival) is the mainstream method for target localization. This paper proposes a fast time–frequency difference positioning method to address issues such as low accuracy, large computational resource utilization, and limited suitability for real-time signal processing in the conventional CAF (cross-ambiguity function)-based approach, aiming to complete the processing of the target radiation source to obtain the target parameters within a short timeframe. In the mixing product operation step of the CAF, a frequency-domain approach replaces the time-domain convolution operation in PW-ZFFT (pre-weighted Zoom-FFT) to reduce the computational load of the CAF. Additionally, a quadratic surface fitting method is used to enhance the accuracy of TDOA and FDOA. The localization solution is obtained using Newton’s method, which can provide more accurate results compared to analytical methods. Next, a signal processing platform is designed with FPGA (field-programmable gate array) and multi-core DSP (digital signal processor), and works by dividing and mapping the algorithm functional modules according to the hardware’s characteristics. We analyze the architectural advantages of multi-core DSP and design methods to improve program performance, such as EDMA transfer optimization, inline function optimization, and cache optimization. Finally, this paper constructs simulation tests in typical positioning scenarios and compares them to hardware measurement results, thus confirming the correctness and real-time capability of the program.

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Wan, Rui, Yuchun Huang, Rongchang Xie, and Ping Ma. "Combined Lane Mapping Using a Mobile Mapping System." Remote Sensing 11, no. 3 (February 2, 2019): 305. http://dx.doi.org/10.3390/rs11030305.

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High-definition mapping of 3D lane lines has been widely needed for the highway documentation and intelligent navigation of autonomous systems. A mobile mapping system (MMS) captures both accurate 3D LiDAR point clouds and high-resolution images of lane markings at highway driving speeds, providing an abundant data source for combined lane mapping. This paper aims to map lanes with an MMS. The main contributions of this paper include the following: (1) an intensity correction method was introduced to eliminate the reflectivity inconsistency of road-surface LiDAR points; (2) a self-adaptive thresholding method was developed to extract lane markings from their complicated surroundings; and (3) a LiDAR-guided textural saliency analysis of MMS images was proposed to improve the robustness of lane mapping. The proposed method was tested with a dataset acquired in Wuhan, Hubei, China, which contained straight roads, curved roads, and a roundabout with various pavement markings and a complex roadside environment. The experimental results achieved a recall of 96.4%, a precision of 97.6%, and an F-score of 97.0%, demonstrating that the proposed method has strong mapping ability for various urban roads.

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Smith, William, Yongming Qin, Siddharth Singh, Hudson Burke, Tomonari Furukawa, and Gamini Dissanayake. "A Multistage Framework for Autonomous Robotic Mapping with Targeted Metrics." Robotics 12, no. 2 (March 9, 2023): 39. http://dx.doi.org/10.3390/robotics12020039.

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High-quality maps are pertinent to performing tasks requiring precision interaction with the environment. Current challenges with creating a high-precision map come from the need for both high pose accuracy and scan accuracy, and the goal of reliable autonomous performance of the task. In this paper, we propose a multistage framework to create a high-precision map of an environment which satisfies the targeted resolution and local accuracy by an autonomous mobile robot. The proposed framework consists of three steps. Each step is intended to aid in resolving the challenges faced by conventional approaches. In order to ensure the pose estimation is performed with high accuracy, a globally accurate coarse map of the environment is created using a conventional technique such as simultaneous localization and mapping or structure from motion with bundle adjustment. The high scan accuracy is ensured by planning a path for the robot to revisit the environment while maintaining a desired distance to all occupied regions. Since the map is to be created with targeted metrics, an online path replanning and pose refinement technique is proposed to autonomously achieve the metrics without compromising the pose and scan accuracy. The proposed framework was first validated on the ability to address the current challenges associated with accuracy through parametric studies of the proposed steps. The autonomous capability of the proposed framework was been demonstrated successfully in its use for a practical mission.

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Liu, Wenqiang, Xinxue Xu, Chao Li, Jiaqi Wang, Wei Ma, and Junbao Wang. "Research on Multi-dimensional and High-resolution Stereo Detection Technology of Urban Solid Waste Integrated With Open Space." Journal of Physics: Conference Series 2651, no. 1 (December 1, 2023): 012018. http://dx.doi.org/10.1088/1742-6596/2651/1/012018.

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Abstract The evolution law, waste type, volume and spatial distribution characteristics of a municipal solid waste landfill were studied by using multi-disciplinary comprehensive technologies such as surveying and mapping, geophysics, geological mapping, engineering drilling and three-dimensional modeling. Through the analysis of historical remote sensing and three-dimensional tilt photography data, the evolution law of solid waste is clarified, and the investigation scheme is formulated. With the help of GOCAD three-dimensional modeling software, the high-precision engineering borehole vertical layered positioning and high-resolution horizontal geophysical horizon tracking are organically combined to realize the high-precision and high-resolution intelligent analysis of spatial distribution and volume calculation of solid waste, The three-dimensional exploration system of eco-environmental geological survey is constructed.

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