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1

Schmidtlein, Sebastian. "Raster-based detection of vegetation patterns at landscape scale levels." Phytocoenologia 33, no. 4 (November 19, 2003): 603–21. http://dx.doi.org/10.1127/0340-269x/2003/0033-0603.

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2

Wasim, Muhammad. "A Comparative Study of Curvature-Based and Differential Versions of Dotter Raster-stereography Techniques." KIET Journal of Computing and Information Sciences 1, no. 1 (April 14, 2021): 01–12. http://dx.doi.org/10.51153/kjcis.v4i1.37.

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Conventional Line-based Raster-stereography has been a popular technique for 3-D surface topography. However, in its application for human face screening, the problem of line breaking was observed. In order to resolve this problem, there came up a new technique called dotted raster-stereography. The previously reported version of dotted raster-stereography extracted the curvature features of human face. This paper presents a modified version, viz. differential dotted raster-stereography in which instead of curvature, differences in straight line distances between adjacent points are calculated. A comparative picture of the two versions of dotted raster-stereography techniques is presented. Results suggest that this new differential version of dotted raster-stereography algorithm is faster in execution due to its simpler implementation in software, though lower in accuracy, as compared with the previously reported curvature-based version of dotted raster stereography.
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Zhou, G., Q. Pan, T. Yue, Q. Wang, H. Sha, S. Huang, and X. Liu. "VECTOR AND RASTER DATA STORAGE BASED ON MORTON CODE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (May 2, 2018): 2523–26. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2523-2018.

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Even though geomatique is so developed nowadays, the integration of spatial data in vector and raster formats is still a very tricky problem in geographic information system environment. And there is still not a proper way to solve the problem. This article proposes a method to interpret vector data and raster data. In this paper, we saved the image data and building vector data of Guilin University of Technology to Oracle database. Then we use ADO interface to connect database to Visual C++ and convert row and column numbers of raster data and X Y of vector data to Morton code in Visual C++ environment. This method stores vector and raster data to Oracle Database and uses Morton code instead of row and column and X Y to mark the position information of vector and raster data. Using Morton code to mark geographic information enables storage of data make full use of storage space, simultaneous analysis of vector and raster data more efficient and visualization of vector and raster more intuitive. This method is very helpful for some situations that need to analyse or display vector data and raster data at the same time.
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4

Maule, Marilena, João L. D. Comba, Rafael P. Torchelsen, and Rui Bastos. "A survey of raster-based transparency techniques." Computers & Graphics 35, no. 6 (December 2011): 1023–34. http://dx.doi.org/10.1016/j.cag.2011.07.006.

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Zhu, Yi Feng, Xu Yang, Lei Shi, and Yan Fu Li. "Study of Grating Signal Processing Based on FPGA." Advanced Materials Research 490-495 (March 2012): 1807–10. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1807.

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With the development of modern measurement and control technology,the grating sensor is widely used in the measurement of displacement and angle in precise meterage domain. Limited by the grating scratching technology,the way to improve the measurement precision of grating sensor is using electronic technique to subdivision the grating signal. This paper mainly research on raster displacement detection system based on FPGA. As the usual raster sensor data collection system has many problem,A new raster sensor data collection system was found based on FPGA &USB. In this system,FPGA was used as main controller , and the USB was used for data transmission. A whole system hardware circuit design was given in this paper, including the FPGA processing of the raster sensor signal, and the USB circuit design
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6

Walter, V. "INTEGRATION OF MULTIPLE COLLECTED POLYGONS WITH A RASTER-BASED APPROACH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4 (September 19, 2018): 679–85. http://dx.doi.org/10.5194/isprs-archives-xlii-4-679-2018.

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<p><strong>Abstract.</strong> In this paper, we present an approach for the integration of multiple collected (vector-)polygons that is computed in the raster domain. In a first step, all polygons are transferred to the raster domain with a vector/raster-conversion. The integration in the raster domain is a simple pixel-wise summation that is much simpler than comparable approaches in the vector domain. The results can be optimized with image processing operators. Finally, the integrated data are transferred back into the vector domain with a raster/vector-conversion. This approach can integrate not only 2 datasets but is also able to integrate <i>n</i> datasets without any modification. We will demonstrate this approach on data that was multiple collected in a student project and we will discuss how the integration results can be evaluated with quality measures.</p>
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7

Ren, Lijing. "A Novel Raster Map Exchange Scheme Based on Visual Cryptography." Advances in Multimedia 2021 (July 29, 2021): 1–7. http://dx.doi.org/10.1155/2021/3287774.

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Raster map is an image that has been discretized in space and brightness, and it is an important carrier of geospatial data. With the rapid development of Internet and big data technologies, preserving the privacy of raster map has become an urgent task. To solve these issues, we propose a novel extended visual cryptography scheme to securely store a raster map into other two meaningful halftone maps in the paper. The scheme avoids the random-looking shares of visual cryptography schemes which are vulnerable and hard to manage. We first apply the halftone and color decomposition methods to transform a color secret map into halftone images. After that, we encode the secret map block by block to avoid pixel expansion. At last, by optimizing the selection of encrypted blocks, we achieve a high-quality secret recovery from generated multiple equal-sized shares. The technique used is to employ a versatile and secure raster map exchange. Experimental results show that, compared with previous work, the proposed scheme significantly improves the performance of recovered raster maps.
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8

Szendrei, Rudolf, István Elek, and Mátyás Márton. "Knowledge-Based Raster-Vector Conversion of Topographic Maps." Acta Cybernetica 20, no. 1 (2011): 145–65. http://dx.doi.org/10.14232/actacyb.20.1.2011.11.

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9

Lv, Bin, Hao Xu, Jianqing Wu, Yuan Tian, and Changwei Yuan. "Raster-Based Background Filtering for Roadside LiDAR Data." IEEE Access 7 (2019): 76779–88. http://dx.doi.org/10.1109/access.2019.2919624.

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10

Ravazzani, Giovanni. "MOSAICO, a library for raster based hydrological applications." Computers & Geosciences 51 (February 2013): 1–6. http://dx.doi.org/10.1016/j.cageo.2012.08.007.

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11

Serhat, Gokhan. "COMPACT: Concurrent or Ordered Matrix-Based Packing Arrangement Computation Technique." Applied Sciences 11, no. 11 (June 4, 2021): 5217. http://dx.doi.org/10.3390/app11115217.

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Despite their versatility in treating irregular geometries, the raster methods have received limited attention in solving packing problems involving rotatable objects. In addition, raster approximation allows the use of unique performance metrics and indirect consideration of constraints, which have not been exploited in the literature. This study presents the Concurrent or Ordered Matrix-based Packing Arrangement Computation Technique (COMPACT). The method allows the objects to be rotated by arbitrary angles, unlike the right-angled rotation restrictions imposed in many existing packing optimization studies based on raster methods. The raster approximations are obtained through loop-free operations that improve efficiency. Additionally, a novel performance metric is introduced, which favors efficient filling of the available space by maximizing the overall contact within the domain. Moreover, the objective functions are exploited to discard the overlap and overflow constraints and enable the use of unconstrained optimization methods. The results of the case studies demonstrate the effectiveness of the proposed technique.
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Ayliffe, A. C. "Raster Digitized Mapping For The Royal Air Force." Journal of Navigation 49, no. 2 (May 1996): 143–53. http://dx.doi.org/10.1017/s0373463300013230.

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In a paper delivered to Geo '89, a NATO symposium, Wing Commander G. T. Scard was tempted to summarize RAF requirements for digital geographic information as ‘raster now, vector later’.1 He avoided that temptation. However, it is still easy to assume that supplying raster data is today's quick solution to the problem of providing geographic information, and that soon raster products will be replaced by a new generation of vector products. Six years on, raster digitized mapping is becoming firmly established as a major geographic information product supplied by the Military Survey Defence Agency. Although vector data is becoming widely available, there are no defined RAF requirements to procure map displays based on vector products. It is apparent that raster data will remain an important source of displayed geographic information on which the RAF will rely for a long time. However, supplying raster mapping is not easy. There are technical problems which need further work to find solutions. This work is urgent. Systems using raster data are already in service and we cannot wait for vector data to replace raster data at some unspecified future date.
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Yun, Changho, and Suhan Choi. "A Study of Standardizing Frequencies Using Channel Raster for Underwater Wireless Acoustic Sensor Networks." Sensors 21, no. 16 (August 23, 2021): 5669. http://dx.doi.org/10.3390/s21165669.

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In this paper, we propose the method to standardize acoustic frequencies for underwater wireless acoustic sensor networks (UWASNs) by applying the channel raster used in the terrestrial mobile communications. The standardization process includes: (1) Setting the available acoustic frequency band where a channel raster is employed via the frequency specification analysis of the state-of-the art underwater acoustic communication modems. (2) Defining the center frequencies and the channel numbers as a function of channel raster, and the upper limit of the value of channel raster. (3) Determining the value of the channel raster suitable for the available acoustic frequency band via simulations. To set the value, three performance metrics are considered: the collision rate, the idle spectrum rate, and the receiver computational complexity. The simulation results show that the collision rate and the idle spectrum rate according to the value of channel raster have a trade-off relationship, but the influence of channel raster on the two performance metrics is insignificant. However, the receiver computational complexity is enhanced remarkably as the value of channel raster increases. Therefore, setting the value of channel raster close to its upper limit is the most adequate in respect of mitigating the occurrence of a collision and enhancing the reception performance. The standardized frequencies based on channel raster can guarantee the frequency compatibility required for the emerging technologies like the Internet of Underwater Things (IoUT) or the underwater cognitive radio, but also improves the network performance by avoiding the arbitrary use of frequencies.
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14

Baek, Nakhoon. "Raster Pipeline Implementation based on 3D Graphics Geometry Pipelines." Journal of the Korea Contents Association 13, no. 8 (August 31, 2013): 44–51. http://dx.doi.org/10.5392/jkca.2013.13.08.044.

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15

Liu, Chen, An Tang Zhang, Tao Liu, and Hui Sen He. "The Visualization for SMT Based on Raster Data Engine." Advanced Materials Research 532-533 (June 2012): 1056–59. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1056.

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This paper proposes a raster-based data visualization engine method for the visualization of SMT, through COM technology, using standard data access interface and a consistent approach to separate data management and data analysis, this method try to transform EDA vector data into bitmaps, the aim to provide a fast and efficient to create three-dimensional data model PCB substrate, the resault is that removing the adverse vector graphics technology,reducing the complexity of the algorithm, reducing the cost of computer time and improving surface mount visual display speed.
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16

Atkinson, Peter M. "Optimal Sampling Strategies for Raster-Based Geographical Information Systems." Global Ecology and Biogeography Letters 5, no. 4/5 (July 1996): 271. http://dx.doi.org/10.2307/2997795.

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17

Julien, Pierre Y., Bahram Saghafian, and Fred L. Ogden. "RASTER-BASED HYDROLOGIC MODELING OF SPATIALLY-VARIED SURFACE RUNOFF." Journal of the American Water Resources Association 31, no. 3 (June 1995): 523–36. http://dx.doi.org/10.1111/j.1752-1688.1995.tb04039.x.

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Loose, Kai, Toshiki Niino, and Takeo Nakagawa. "Raster‐based exposure through multiple parallel beams in stereolithography." Rapid Prototyping Journal 5, no. 3 (September 1999): 103–11. http://dx.doi.org/10.1108/13552549910278928.

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19

Bates, P. D., and A. P. J. De Roo. "A simple raster-based model for flood inundation simulation." Journal of Hydrology 236, no. 1-2 (September 2000): 54–77. http://dx.doi.org/10.1016/s0022-1694(00)00278-x.

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20

Jaeyeol Ryu and A. N. Putilin. "Study of virtual displays based on raster optical elements." Quantum Electronics 48, no. 1 (January 29, 2018): 87–94. http://dx.doi.org/10.1070/qel16514.

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DARDALA, Marian, and Adriana REVEIU. "Using Raster Based Solutions to Identify Spatial Economic Agglomerations." Informatica Economica 17, no. 1/2013 (March 30, 2013): 131–43. http://dx.doi.org/10.12948/issn14531305/17.1.2013.11.

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22

Belch, F. R. "Analysis of the raster-based 2D vector graphics system." Displays 8, no. 2 (April 1987): 87–98. http://dx.doi.org/10.1016/0141-9382(87)90043-6.

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23

Phani Bhushan, R., D. V. L. N. Somayajulu, S. Venkatraman, and R. B. V. Subramanyam. "A Raster Data Framework Based on Distributed Heterogeneous Cluster." Journal of the Indian Society of Remote Sensing 47, no. 4 (November 9, 2018): 715–23. http://dx.doi.org/10.1007/s12524-018-0897-5.

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Vilà, Anna, Sergio Moreno, Joan Canals, and Angel Diéguez. "A Compact Raster Lensless Microscope Based on a Microdisplay." Sensors 21, no. 17 (September 3, 2021): 5941. http://dx.doi.org/10.3390/s21175941.

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Lensless microscopy requires the simplest possible configuration, as it uses only a light source, the sample and an image sensor. The smallest practical microscope is demonstrated here. In contrast to standard lensless microscopy, the object is located near the lighting source. Raster optical microscopy is applied by using a single-pixel detector and a microdisplay. Maximum resolution relies on reduced LED size and the position of the sample respect the microdisplay. Contrarily to other sort of digital lensless holographic microscopes, light backpropagation is not required to reconstruct the images of the sample. In a mm-high microscope, resolutions down to 800 nm have been demonstrated even when measuring with detectors as large as 138 μm × 138 μm, with field of view given by the display size. Dedicated technology would shorten measuring time.
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Sloup, Petr. "GPU-accelerated raster map reprojection." Geoinformatics FCE CTU 15, no. 1 (July 22, 2016): 61–68. http://dx.doi.org/10.14311/gi.15.1.5.

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<p>Reprojecting raster maps from one projection to another is an essential part of many cartographic processes (map comparison, overlays, data presentation, ...) and reducing the required computational time is desirable and often significantly decreases overall processing costs.</p><p>The raster reprojection process operates per-pixel and is, therefore, a good candidate for GPU-based parallelization where the large number of processors can lead to a very high degree of parallelism.</p><p>We have created an experimental implementation of the raster reprojection with GPU-based parallelization (using OpenCL API).<br />During the evaluation, we compared the performance of our implementation to the optimized GDAL and showed that there is a class of problems where GPU-based parallelization can lead to more than sevenfold speedup.</p>
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Lu, Yi, Shawn Laffan, Chris Pettit, and Min Cao. "Land use change simulation and analysis using a vector cellular automata (CA) model: A case study of Ipswich City, Queensland, Australia." Environment and Planning B: Urban Analytics and City Science 47, no. 9 (February 27, 2019): 1605–21. http://dx.doi.org/10.1177/2399808319830971.

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The loss of accuracy in vector-raster conversion has always been an issue for land use change models, particularly for raster based Cellular Automata models. Here we describe a vector-based cellular automata (CA) model that uses land parcels as the basic unit of analysis, and compare its results with a raster CA model. Transition rules are calibrated using an artificial neural network (ANN) and historical land use data. Using Ipswich City in Queensland, Australia as the study area, the simulation results show that the vector and raster CA models achieve 96.64% and 93.88% producer’s spatial accuracy, respectively. In addition, the vector CA model achieves a higher kappa coefficient and more consistent frequency of misclassification, while also having faster processing times. Consequently, the vector-based CA model can be applied to explore regulations of land use transformation in urban growth process, and provide a better understanding of likely urban growth to inform city planners.
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Xie, Qingyun. "THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 551–55. http://dx.doi.org/10.5194/isprsarchives-xli-b4-551-2016.

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This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domain-specific perspective as well as from a computing point of view. It also discusses the need of tight integration between the database system and the processing system. These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform. The rationale, design, implementation, and benefits of Oracle Spatial GeoRaster are described. Basically, as a database management system, GeoRaster defines an integrated raster data model, supports image compression, data manipulation, general and spatial indices, content and context based queries and updates, versioning, concurrency, security, replication, standby, backup and recovery, multitenancy, and ETL. It provides high scalability using computer and storage clustering. As a raster data processing platform, GeoRaster provides basic operations, image processing, raster analytics, and data distribution featuring high performance computing (HPC). Specifically, HPC features include locality computing, concurrent processing, parallel processing, and in-memory computing. In addition, the APIs and the plug-in architecture are discussed.
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Xie, Qingyun. "THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 551–55. http://dx.doi.org/10.5194/isprs-archives-xli-b4-551-2016.

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This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domain-specific perspective as well as from a computing point of view. It also discusses the need of tight integration between the database system and the processing system. These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform. The rationale, design, implementation, and benefits of Oracle Spatial GeoRaster are described. Basically, as a database management system, GeoRaster defines an integrated raster data model, supports image compression, data manipulation, general and spatial indices, content and context based queries and updates, versioning, concurrency, security, replication, standby, backup and recovery, multitenancy, and ETL. It provides high scalability using computer and storage clustering. As a raster data processing platform, GeoRaster provides basic operations, image processing, raster analytics, and data distribution featuring high performance computing (HPC). Specifically, HPC features include locality computing, concurrent processing, parallel processing, and in-memory computing. In addition, the APIs and the plug-in architecture are discussed.
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Pan, J. P., Q. L. Xu, and C. H. Yang. "Research and Application of GIS Data Update Technology." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (April 23, 2014): 195–200. http://dx.doi.org/10.5194/isprsarchives-xl-4-195-2014.

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This paper summed up 3 kinds of GIS data update ways started from the actual production, as these data are raster to raster data, raster to vector data and vector to vector data. We described the most advanced and most effective ways to update each kind of data, solved lots of insufficient exist in current GIS data update ways effectively, such as long update time, low update efficiency, data redundancy and can’t query and analysis based on time. From the actual production project, those ways we described were proven to be effective and feasible.
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Kong, Ming Chu, Wing Bun Lee, Chi Fai Cheung, and Suet To. "The Effect of Up-Cutting and Down-Cutting Directions on Materials Swelling in Ultra-Precision Raster Milling." Materials Science Forum 532-533 (December 2006): 697–700. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.697.

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The influence of materials swelling across the steps on surface roughness under up-cutting and down-cutting direction in ultra-precision raster milling was investigated. The normalized extent of swelling is characterized by a swelling significance index, defined based on the power spectral density of the roughness profile. Materials swelling was found to be significant in ultra-precision raster milling, especially when copper alloys machined in the up-cutting direction. The findings in the present study provide an important means for improving the surface finish of the raster-milled surfaces and optimizing the cutting conditions.
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31

FURSENKO, Antanas. "Precizinių rastrų formavimo sistemos juostos poslinkio matavimo junginio skaičiuojamieji tyrimai / Analytical research of displacement measuring unit of the precise raster-forming systems." Mokslas - Lietuvos ateitis 9, no. 6 (December 29, 2017): 597–601. http://dx.doi.org/10.3846/mla.2017.1092.

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The precision raster-forming systems creation and development must be based on research in the specific work environment. In not ideal metrological conditions the precision raster-forming system allows to achieve high accuracy of the calibration, when used dynamic calibration method.The paper analyzes the possibility of analytical modeling of one main part (steel tape displacement measuring unit) of precise raster forming systems. In the work, a linear mechanical model of steel tape was applied to the load. The work described the equation, which describes the steel tape deformation model under loads with boundary conditions.
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Li, Xingdong, Zhiming Gao, Xiandong Chen, Shufa Sun, and Jiuqing Liu. "Research on Estimation Method of Geometric Features of Structured Negative Obstacle Based on Single-Frame 3D Laser Point Cloud." Information 12, no. 6 (May 30, 2021): 235. http://dx.doi.org/10.3390/info12060235.

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A single VLP-16 LiDAR estimation method based on a single-frame 3D laser point cloud is proposed to address the problem of estimating negative obstacles’ geometrical features in structured environments. Firstly, a distance measurement method is developed to determine the estimation range of the negative obstacle, which can be used to verify the accuracy of distance estimation. Secondly, the 3D point cloud of a negative obstacle is transformed into a 2D elevation raster image, making the detection and estimation of negative obstacles more intuitive and accurate. Thirdly, we compare the effects of a StatisticalOutlierRemoval filter, RadiusOutlier removal, and Conditional removal on 3D point clouds, and the effects of a Gauss filter, Median filter, and Aver filter on 2D image denoising, and design a flowchart for point cloud and image noise reduction and denoising. Finally, a geometrical feature estimation method is proposed based on the elevation raster image. The negative obstacle image in the raster is used as an auxiliary line, and the number of pixels is derived from the OpenCV-based Progressive Probabilistic Hough Transform to estimate the geometrical features of the negative obstacle based on the raster size. The experimental results show that the algorithm has high accuracy in estimating the geometric characteristics of negative obstacles on structured roads and has a practical application value for LiDAR environment perception research.
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Theobald, David M. "Reducing Linear and Perimeter Measurement Errors in Raster-based Data." Cartography and Geographic Information Science 27, no. 2 (January 2000): 111–16. http://dx.doi.org/10.1559/152304000783547975.

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Kong, Li Hong, and Qian Min Su. "The Design of Squib Analysis Algorithm Based on Raster Data." Applied Mechanics and Materials 610 (August 2014): 186–89. http://dx.doi.org/10.4028/www.scientific.net/amm.610.186.

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Firstly this paper analyzes the status quo of Chinese underground pipeline management system. Secondly by the use of network data model in grid points set space, the space grid search algorithm and operability analysis algorithm squib are proposed. Finally the water pipe burst pipes analysis of experiments is designed from which the search of the upstream shut-off valve and analysis burst pipes in affected area are realized. Data bottlenecks brought by the vector data in the practical application are solved.
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Domakhina, L. G. "Skeleton-based segmentation and decomposition of raster pairs of shapes." Pattern Recognition and Image Analysis 20, no. 3 (September 2010): 293–302. http://dx.doi.org/10.1134/s1054661810030053.

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36

Hagelin, P. M., and O. Solgaard. "Optical raster-scanning displays based on surface-micromachined polysilicon mirrors." IEEE Journal of Selected Topics in Quantum Electronics 5, no. 1 (1999): 67–74. http://dx.doi.org/10.1109/2944.748107.

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Gao, Jing, James E. Burt, and A.-Xing Zhu. "Neighborhood size and spatial scale in raster-based slope calculations." International Journal of Geographical Information Science 26, no. 10 (October 2012): 1959–78. http://dx.doi.org/10.1080/13658816.2012.657201.

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Liu, Kun-Hsing, and Jehng-Jung Kao. "Parallelised branch-and-bound algorithm for raster-based landfill siting." Civil Engineering and Environmental Systems 30, no. 1 (March 2013): 15–25. http://dx.doi.org/10.1080/10286608.2012.709504.

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Li, Lianwei, Cunjin Xue, Jian Liu, Zhenjie Wang, and Lijuan Qin. "Raster-based visualization of abnormal association patterns in marine environments." Journal of Applied Remote Sensing 8, no. 1 (June 11, 2014): 083615. http://dx.doi.org/10.1117/1.jrs.8.083615.

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khan, Akbar, and Pratap Reddy L. "Performance Evaluation of Raster Based Shape Vectors in Object Recognition." International Journal of Engineering Trends and Technology 9, no. 8 (March 25, 2014): 378–88. http://dx.doi.org/10.14445/22315381/ijett-v9p274.

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Schaeben, H., S. Kost, and G. Semmler. "Popular Raster-Based Methods of Prospectivity Modeling and Their Relationships." Mathematical Geosciences 51, no. 7 (May 20, 2019): 945–71. http://dx.doi.org/10.1007/s11004-019-09808-6.

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Lin, Zhiyong, and Zhimin Xu. "A METEOROLOGICAL RISK ASSESSMENT METHOD FOR POWER LINES BASED ON GIS AND MULTI-SENSOR INTEGRATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-8 (June 7, 2016): 19–26. http://dx.doi.org/10.5194/isprsannals-iii-8-19-2016.

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Power lines, exposed in the natural environment, are vulnerable to various kinds of meteorological factors. Traditional research mainly deals with the influence of a single meteorological condition on the power line, which lacks of comprehensive effects evaluation and analysis of the multiple meteorological factors. In this paper, we use multiple meteorological monitoring data obtained by multi-sensors to implement the meteorological risk assessment and early warning of power lines. Firstly, we generate meteorological raster map from discrete meteorological monitoring data using spatial interpolation. Secondly, the expert scoring based analytic hierarchy process is used to compute the power line risk index of all kinds of meteorological conditions and establish the mathematical model of meteorological risk. By adopting this model in raster calculator of ArcGIS, we will have a raster map showing overall meteorological risks for power line. Finally, by overlaying the power line buffer layer to that raster map, we will get to know the exact risk index around a certain part of power line, which will provide significant guidance for power line risk management. In the experiment, based on five kinds of observation data gathered from meteorological stations in Guizhou Province of China, including wind, lightning, rain, ice, temperature, we carry on the meteorological risk analysis for the real power lines, and experimental results have proved the feasibility and validity of our proposed method.
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43

Lin, Zhiyong, and Zhimin Xu. "A METEOROLOGICAL RISK ASSESSMENT METHOD FOR POWER LINES BASED ON GIS AND MULTI-SENSOR INTEGRATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-8 (June 7, 2016): 19–26. http://dx.doi.org/10.5194/isprs-annals-iii-8-19-2016.

Full text
Abstract:
Power lines, exposed in the natural environment, are vulnerable to various kinds of meteorological factors. Traditional research mainly deals with the influence of a single meteorological condition on the power line, which lacks of comprehensive effects evaluation and analysis of the multiple meteorological factors. In this paper, we use multiple meteorological monitoring data obtained by multi-sensors to implement the meteorological risk assessment and early warning of power lines. Firstly, we generate meteorological raster map from discrete meteorological monitoring data using spatial interpolation. Secondly, the expert scoring based analytic hierarchy process is used to compute the power line risk index of all kinds of meteorological conditions and establish the mathematical model of meteorological risk. By adopting this model in raster calculator of ArcGIS, we will have a raster map showing overall meteorological risks for power line. Finally, by overlaying the power line buffer layer to that raster map, we will get to know the exact risk index around a certain part of power line, which will provide significant guidance for power line risk management. In the experiment, based on five kinds of observation data gathered from meteorological stations in Guizhou Province of China, including wind, lightning, rain, ice, temperature, we carry on the meteorological risk analysis for the real power lines, and experimental results have proved the feasibility and validity of our proposed method.
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44

Hao, Wang Shen, Jie Han, Wei Hao, and Bo Zhao. "Study on Precision Measuring Method of Reloading Machine Tool." Key Engineering Materials 416 (September 2009): 61–65. http://dx.doi.org/10.4028/www.scientific.net/kem.416.61.

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One of the most important challenging problems in modern mechanical manufacture industry is how to reload the repaired tool properly to the numerical machine. An innovation method is put forward considering the above mentioned problem. It takes account of raster sensors due to the characteristics of high accuracy, wide scope of dynamic measurement, non-contact measurement and flexible to automation and numeralization. A measurement system is constructed based on the principle of raster sensors. One operating example of raster provides quite precise results, which would be one of the solutions to the key problem of reloading machine tool.
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45

Felbermair, Samuel, Florian Lammer, Eva Trausinger-Binder, and Cornelia Hebenstreit. "Generation of a synthetic population for agent-based transport modelling with small sample travel survey data using statistical raster census data." International Journal of Traffic and Transportation Management 02, no. 02 (October 10, 2020): 09–17. http://dx.doi.org/10.5383/jttm.02.02.002.

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This paper presents a step-by-step method to generate a synthetic population for agent-based transport modelling as input to MATSim software, which requires an activity chain for each agent. We make use of high spatial resolution statistical raster (250 m) census data, applying all calculations at this scale. Due to the small sample, size of travel survey data an Iterative Proportional Fitting method is not suitable. Therefore, we devise a method utilizing Bayesian networks, maximum likelihood and Markov Chain Monte Carlo simulation to reproduce attribute distribution and fit to raster margins. Stratified sampling along households is employed to generate activity chains for the synthetic population.
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46

Sha, Zong Yao. "Quantitative Models for Computing Distance and Directions: A Raster-Based Approach." Advanced Materials Research 717 (July 2013): 449–54. http://dx.doi.org/10.4028/www.scientific.net/amr.717.449.

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Modeling Distance and Direction Relationships (DDR) is a key issue in spatial analysis and spatial reasoning. Various fields such as geology, hydrology, ecology, etc. apply DDR models to help digging out valuable patterns hidden in geoscientific dataset. This paper proposed two quantitative models through a raster-based approach for computing Euclidean distance and cardinal direction relationships, respectively, between a pair of spatial objects in a two-dimensional geographical space. The corresponding algorithms were designed and implemented. This new raster-based modeling can work universally on all types of spatial objects (point, line, polygon, or compound objects) and quantify DDR more accurately due to its sensitivity to object shapes. The usefulness of the modeling was demonstrated by various applications.
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47

Meneses, Bruno, Eusébio Reis, Rui Reis, and Maria Vale. "The Effects of Land Use and Land Cover Geoinformation Raster Generalization in the Analysis of LUCC in Portugal." ISPRS International Journal of Geo-Information 7, no. 10 (September 26, 2018): 390. http://dx.doi.org/10.3390/ijgi7100390.

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Multiple land use and land cover (LUC) datasets are available for the analysis of LUC changes (LUCC) in distinct territories. Sometimes, different LUCC results are produced to characterize these changes for the same territory and the same period. These differences reflect: (1) The different properties of LUC geoinformation (GI) used in the LUCC assessment, and (2) different criteria used for vector-to-raster conversion, namely, those deriving from outputs with different spatial resolutions. In this research, we analyze LUCC in mainland Portugal using two LUC datasets with different properties: Corine Land Cover (CLC 2006 and 2012) and LUC official maps of Portugal (Carta de Ocupação do Solo, COS 2007 and 2010) provided by the European Environment Agency (EEA) and the General Directorate for Territorial Development (DGT). Each LUC dataset has undergone vector-to-raster conversion, with different resolutions (10, 25, 50, 100, and 200 m). LUCC were analyzed based on the vector GI of each LUC dataset, and with LUC raster outputs using different resolutions. Initially, it was observed that the areas with different LUC types in two LUC datasets in vector format were not similar—a fact explained by the different properties of this type of GI. When using raster GI to perform the analysis of LUCC, it was observed that at high resolutions, the results are identical to the results obtained when using vector GI, but this ratio decreases with increased cell size. In the analysis of LUCC results obtained with raster LUC GI, the outputs with pixel size greater than 100 m do not follow the same trend of LUCC obtained with high raster resolutions or using LUCC obtained with vector GI. These results point out the importance of the factor form and the area of the polygons, and different effects of amalgamation and dilation in the vector-to-raster conversion process, more evident at low resolutions. These findings are important for future evaluations of LUCC that integrate raster GI and vector/raster conversions, because the different LUC GI resolution in line with accuracy can explain the different results obtained in the evaluation of LUCC. The present work demonstrates this fact, i.e., the effects of vector-to-raster conversions using various resolutions culminated in different results of LUCC.
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48

Liu, Haijian, and Changshan Wu. "Developing a Scene-Based Triangulated Irregular Network (TIN) Technique for Individual Tree Crown Reconstruction with LiDAR Data." Forests 11, no. 1 (December 23, 2019): 28. http://dx.doi.org/10.3390/f11010028.

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LiDAR (Light Detection and Ranging)-based individual tree crown reconstruction is a challenge task due to the variable canopy morphologies and the penetrating properties of LiDAR to tree crown surfaces. Traditional methods, including LiDAR-derived rasterization, low-pass filtering smooth algorithm, and original triangular irregular network (TIN) model, have difficulties in balancing morphological accuracy and model smoothness. To address this issue, a scene-based TIN was generated with three steps based on the local scene principle. First, local Delaunay triangles were formed through connecting neighboring point sets. Second, key control points within each local Delaunay triangle, including steeple, inverted tip, ridge, saddle, and horseshoe shape control points, were extracted by analyzing multiple local scenes. These key points were derived to determine the fluctuations of forest canopies. Third, the scene-based TIN model was generated using the control points as nodes. Visual analysis indicates the new model can accurately reconstruct different canopy shapes with a relatively smooth surface, and statistical analysis of individual trees confirms that the overall error of the new model is smaller than others. Especially, the scene-based TIN derived raster reduced the average error to 0.18 m, with a standard deviation of 0.41, while the average errors of LiDAR-derived raster, low-pass filtered smooth raster, and original TIN derived raster have average errors of 0.96, 2.05, and 1.00 m, respectively. The local scene-based control point extraction also reduces data storage due to the elimination of redundant points, and furthermore the different point densities on different objects are beneficial for canopy segmentation.
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49

Cannon, J., E. Lau, and R. D. Müller. "Plate tectonic raster reconstruction in GPlates." Solid Earth 5, no. 2 (August 1, 2014): 741–55. http://dx.doi.org/10.5194/se-5-741-2014.

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Abstract. We describe a novel method implemented in the GPlates plate tectonic reconstruction software to interactively reconstruct arbitrarily high-resolution raster data to past geological times using a rotation model. The approach is based on the projection of geo-referenced raster data into a cube map followed by a reverse projection onto rotated tectonic plates on the surface of the globe. This decouples the rendering of a geo-referenced raster from its reconstruction, providing a number of benefits including a simple implementation and the ability to combine rasters with different geo-referencing or inbuilt raster projections. The cube map projection is accelerated by graphics hardware in a wide variety of computer systems manufactured over the last decade. Furthermore, by integrating a multi-resolution tile partitioning into the cube map we can provide on-demand tile streaming, level-of-detail rendering and hierarchical visibility culling, enabling researchers to visually explore essentially unlimited resolution geophysical raster data attached to tectonic plates and reconstructed through geological time. This capability forms the basis for interactively building and improving plate reconstructions in an iterative fashion, particularly for tectonically complex regions.
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50

Cannon, J., E. Lau, and R. D. Müller. "Plate tectonic raster reconstruction in GPlates." Solid Earth Discussions 6, no. 1 (March 12, 2014): 793–830. http://dx.doi.org/10.5194/sed-6-793-2014.

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Abstract. We describe a novel method implemented in the GPlates plate tectonic reconstruction software to interactively reconstruct arbitrarily high-resolution raster data to past geological times using a rotation model. The approach is based on the projection of geo-referenced raster data into a cube map followed by a reverse projection onto rotated tectonic plates on the surface of the globe. This decouples the rendering of a geo-referenced raster from its reconstruction, providing a number of benefits including a simple implementation and the ability to combine rasters with different geo-referencing or inbuilt raster projections. The cube map projection is accelerated by graphics hardware in a wide variety of computer systems manufactured over the last decade. Furthermore, by integrating a multi-resolution tile partitioning into the cube map we can provide on-demand tile streaming, level-of-detail rendering and hierarchical visibility culling enabling researchers to visually explore essentially unlimited resolution geophysical raster data attached to tectonic plates and reconstructed through geological time. This capability forms the basis for interactively building and improving plate reconstructions in an iterative fashion, particularly for tectonically complex regions.
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