Добірка наукової літератури з теми "Scanner data"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Scanner data".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Scanner data"
Bohner, Lauren, Daniel Habor, Klaus Radermacher, Stefan Wolfart, and Juliana Marotti. "Scanning of a Dental Implant with a High-Frequency Ultrasound Scanner: A Pilot Study." Applied Sciences 11, no. 12 (June 14, 2021): 5494. http://dx.doi.org/10.3390/app11125494.
Повний текст джерелаRuzgienė, Birutė, Renata Bagdžiūnaitė, and Vilma Ruginytė. "SCANNING AERIAL PHOTOS USING A NON-PROFESSIONAL SCANNER." Geodesy and Cartography 38, no. 3 (October 1, 2012): 118–21. http://dx.doi.org/10.3846/20296991.2012.728901.
Повний текст джерелаRabah, Chaima Ben, Gouenou Coatrieux, and Riadh Abdelfattah. "Boosting up Source Scanner Identification Using Wavelets and Convolutional Neural Networks." Traitement du Signal 37, no. 6 (December 31, 2020): 881–88. http://dx.doi.org/10.18280/ts.370601.
Повний текст джерелаNestle, U., S. Kremp, D. Hellwig, A. Grgic, H. G. Buchholz, W. Mischke, C. Gromoll, et al. "Multi-centre calibration of an adaptive thresholding method for PET-based delineation of tumour volumes in radiotherapy planning of lung cancer." Nuklearmedizin 51, no. 03 (2012): 101–10. http://dx.doi.org/10.3413/nukmed-0452-11-12.
Повний текст джерелаStangeland, Marcus, Trond Engjom, Martin Mezl, Radovan Jirik, Odd Gilja, Georg Dimcevski, and Kim Nylund. "Interobserver Variation of the Bolus-and-Burst Method for Pancreatic Perfusion with Dynamic – Contrast-Enhanced Ultrasound." Ultrasound International Open 03, no. 03 (June 2017): E99—E106. http://dx.doi.org/10.1055/s-0043-110475.
Повний текст джерелаProvenzale, James M., Brian A. Taylor, Elisabeth A. Wilde, Michael Boss, and Walter Schneider. "Analysis of variability of fractional anisotropy values at 3T using a novel diffusion tensor imaging phantom." Neuroradiology Journal 31, no. 6 (July 24, 2018): 581–86. http://dx.doi.org/10.1177/1971400918789383.
Повний текст джерелаXu, Ji Hong, Xiao Lin Dai, and Shu Ping Gao. "A Study on Data Acquisition from Sections of Virtual Coat Profile." Advanced Materials Research 230-232 (May 2011): 1204–9. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.1204.
Повний текст джерелаChen, Kai, Kai Zhan, Xiaocong Yang, and Da Zhang. "Accuracy Improvement Method of a 3D Laser Scanner Based on the D-H Model." Shock and Vibration 2021 (May 25, 2021): 1–9. http://dx.doi.org/10.1155/2021/9965904.
Повний текст джерелаElbrecht, Pirjo, Jaak Henno, and Knut Joosep Palm. "Body Measurements Extraction from 3D Scanner Data." Applied Mechanics and Materials 339 (July 2013): 372–77. http://dx.doi.org/10.4028/www.scientific.net/amm.339.372.
Повний текст джерелаLiebold, F., and H. G. Maas. "Integrated Georeferencing of LiDAR and Camera Data Acquired from a Moving Platform." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (August 11, 2014): 191–96. http://dx.doi.org/10.5194/isprsarchives-xl-3-191-2014.
Повний текст джерелаДисертації з теми "Scanner data"
Bae, Kwang-Ho. "Automated registration of unorganised point clouds from terrestrial laser scanners." Curtin University of Technology, Department of Spatial Sciences, 2006. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=16596.
Повний текст джерелаIn addition, the rotational convergence region of the GP-ICPR on the order of 10°, which is much larger than the ICP or its variants, provides a window of opportunity to utilise this automated registration method in practical applications such as terrestrial surveying and deformation monitoring.
Foekens, Eijte Willem. "Scanner data based marketing modelling : empirical applications /." Capelle a/d IJssel : Labyrint Publ, 1995. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=007021048&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Повний текст джерелаTrost, Daniel Roland. "Organic produce demand estimation utilizing retail scanner data." Thesis, Montana State University, 1999. http://etd.lib.montana.edu/etd/1999/trost/TrostD1999.pdf.
Повний текст джерелаTóvári, Dániel. "Segmentation Based Classification of Airborne Laser Scanner Data." [S.l. : s.n.], 2006. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000006285.
Повний текст джерелаPreuksakarn, Chakkrit. "Reconstructing plant architecture from 3D laser scanner data." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20116/document.
Повний текст джерелаIn the last decade, very realistic rendering of plant architectures have been produced in computer graphics applications. However, in the context of biology and agronomy, acquisition of accurate models of real plants is still a tedious task and a major bottleneck for the construction of quantitative models of plant development. Recently, 3D laser scanners made it possible to acquire 3D images on which each pixel has an associate depth corresponding to the distance between the scanner and the pinpointed surface of the object. Standard geometrical reconstructions fail on plants structures as they usually contain a complex set of discontinuous or branching surfaces distributed in space with varying orientations. In this thesis, we present a method for reconstructing virtual models of plants from laser scanning of real-world vegetation. Measuring plants with laser scanners produces data with different levels of precision. Points set are usually dense on the surface of the main branches, but only sparsely cover thin branches. The core of our method is to iteratively create the skeletal structure of the plant according to local density of point set. This is achieved thanks to a method that locally adapts to the levels of precision of the data by combining a contraction phase and a local point tracking algorithm. In addition, we present a quantitative evaluation procedure to compare our reconstructions against expertised structures of real plants. For this, we first explore the use of an edit distance between tree graphs. Alternatively, we formalize the comparison as an assignment problem to find the best matching between the two structures and quantify their differences
Töpel, Johanna. "Initial Analysis and Visualization of Waveform Laser Scanner Data." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2864.
Повний текст джерелаConventional airborne laser scanner systems output the three-dimensional coordinates of the surface location hit by the laser pulse. Data storage capacity and processing speeds available today has made it possible to digitally sample and store the entire reflected waveform, instead of only extracting the coordinates. Research has shown that return waveforms can give even more detailed insights into the vertical structure of surface objects, surface slope, roughness and reflectivity than the conventional systems. One of the most important advantages with registering the waveforms is that it gives the user the possibility to himself define the way range is calculated in post-processing.
In this thesis different techniques have been tested to visualize a waveform data set in order to get a better understanding of the waveforms and how they can be used to improve methods for classification of ground objects.
A pulse detection algorithm, using the EM algorithm, has been implemented and tested. The algorithm output position and width of the echo pulses. One of the results of this thesis is that echo pulses reflected by vegetation tend to be wider than those reflected by for example a road. Another result is that up till five echo pulses can be detected compared to two echo pulses that the conventional system detects.
Payette, Francois. "Applications of a sampling strategy for the ERBE scanner data." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61784.
Повний текст джерелаHenning, Jason Gregory. "Modeling Forest Canopy Distribution from Ground-Based Laser Scanner Data." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/28431.
Повний текст джерелаPh. D.
Nalani, Hetti Arachchige. "Automatic Reconstruction of Urban Objects from Mobile Laser Scanner Data." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-159872.
Повний текст джерелаUp-to-date 3D urban models are becoming increasingly important in various urban application areas, such as urban planning, virtual tourism, and navigation systems. Many of these applications often demand the modelling of 3D buildings, enriched with façade information, and also single trees among other urban objects. Nowadays, Mobile Laser Scanning (MLS) technique is being progressively used to capture objects in urban settings, thus becoming a leading data source for the modelling of these two urban objects. The 3D point clouds of urban scenes consist of large amounts of data representing numerous objects with significant size variability, complex and incomplete structures, and holes (noise and data gaps) or variable point densities. For this reason, novel strategies on processing of mobile laser scanning point clouds, in terms of the extraction and modelling of salient façade structures and trees, are of vital importance. The present study proposes two new methods for the reconstruction of building façades and the extraction of trees from MLS point clouds. The first method aims at the reconstruction of building façades with explicit semantic information such as windows, doors and balconies. It runs automatically during all processing steps. For this purpose, several algorithms are introduced based on the general knowledge on the geometric shape and structural arrangement of façade features. The initial classification has been performed using a local height histogram analysis together with a planar growing method, which allows for classifying points as object and ground points. The point cloud that has been labelled as object points is segmented into planar surfaces that could be regarded as the main entity in the feature recognition process. Knowledge of the building structure is used to define rules and constraints, which provide essential guidance for recognizing façade features and reconstructing their geometric models. In order to recognise features on a wall such as windows and doors, a hole-based method is implemented. Some holes that resulted from occlusion could subsequently be eliminated by means of a new rule-based algorithm. Boundary segments of a feature are connected into a polygon representing the geometric model by introducing a primitive shape based method, in which topological relations are analysed taking into account the prior knowledge about the primitive shapes. Possible outlines are determined from the edge points detected from the angle-based method. The repetitive patterns and similarities are exploited to rectify geometrical and topological inaccuracies of the reconstructed models. Apart from developing the 3D façade model reconstruction scheme, the research focuses on individual tree segmentation and derivation of attributes of urban trees. The second method aims at extracting individual trees from the remaining point clouds. Knowledge about trees specially pertaining to urban areas is used in the process of tree extraction. An innovative shape based approach is developed to transfer this knowledge to machine language. The usage of principal direction for identifying stems is introduced, which consists of searching point segments representing a tree stem. The output of the algorithm is, segmented individual trees that can be used to derive accurate information about the size and locations of each individual tree. The reliability of the two methods is verified against three different data sets obtained from different laser scanner systems. The results of both methods are quantitatively evaluated using a set of measures pertaining to the quality of the façade reconstruction and tree extraction. The performance of the developed algorithms referring to the façade reconstruction, tree stem detection and the delineation of individual tree crowns as well as their limitations are discussed. The results show that MLS point clouds are suited to document urban objects rich in details. From the obtained results, accurate measurements of the most important attributes relevant to the both objects (building façades and trees), such as window height and width, area, stem diameter, tree height, and crown area are obtained acceptably. The entire approach is suitable for the reconstruction of building façades and for the extracting trees correctly from other various urban objects, especially pole-like objects. Therefore, both methods are feasible to cope with data of heterogeneous quality. In addition, they provide flexible frameworks, from which many extensions can be envisioned
Natter, Martin, and Markus Feurstein. "Correcting for CBC model bias. A hybrid scanner data - conjoint model." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2001. http://epub.wu.ac.at/880/1/document.pdf.
Повний текст джерелаSeries: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Книги з теми "Scanner data"
missing], [name. Scanner data and price indexes. Chicago, IL: University of Chicago Press, 2002.
Знайти повний текст джерелаMcCann, John M., and John P. Gallagher. Expert Systems for Scanner Data Environments. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3923-6.
Повний текст джерелаJames, Cavuoto, ed. The color scanner book. Torrance, California: Micro Pub. Press, 1995.
Знайти повний текст джерелаCampbell, Jeffrey R. Rigid prices: Evidence from U.S. scanner data. [Chicago, Ill.]: Federal Reserve Bank of Chicago, 2005.
Знайти повний текст джерелаSithole, George. Segmentation and classification of airborne laser scanner data. Delft: Nederlandse Commissie voor Geodesie, 2005.
Знайти повний текст джерелаBeale, Stephen. The scanner book: A complete guide to the use and applications of desktop scanners. Torrance, California: Micro Pub. Co., 1989.
Знайти повний текст джерелаBeale, Stephen. The scanner handbook: A complete guide to the use and applications of desktop scanners. Oxford: Heinemann Newtech, 1990.
Знайти повний текст джерелаTibrewala, Vikas. Nonstationary conditional trend analysis: An application to scanner panel data. Fontainbleau: INSEAD, 1992.
Знайти повний текст джерелаBucklin, Randolph E. Commercial adoption of advances in the analysis of scanner data. Cambridge, Mass: Marketing Science Institute, 1998.
Знайти повний текст джерелаWeinberg, Bruce. Building an information strategy for scanner data: A conference summary. Cambridge, Mass: Marketing Science Institute, 1989.
Знайти повний текст джерелаЧастини книг з теми "Scanner data"
Enesi, Indrit, and Blerina Zanaj. "Implementing Steganocryptography in Scanner and Angio-Scanner Medical Images." In Mobile Networks for Biometric Data Analysis, 109–20. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39700-9_9.
Повний текст джерелаBiedl, Therese, Stephane Durocher, and Jack Snoeyink. "Reconstructing Polygons from Scanner Data." In Algorithms and Computation, 862–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10631-6_87.
Повний текст джерелаCook, J. C., A. D. Goodson, and J. W. R. Griffiths. "Low Frequency Sector Scanner Using NLA." In Underwater Acoustic Data Processing, 47–53. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_4.
Повний текст джерелаShang, Shize, and Xiangwei Kong. "Printer and Scanner Forensics." In Handbook of Digital Forensics of Multimedia Data and Devices, 375–410. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118705773.ch10.
Повний текст джерелаDe Vitiis, Claudia, Alessio Guandalini, Francesca Inglese, and Marco Dionisio Terribili. "Sampling Schemes Using Scanner Data for the Consumer Price Index." In New Statistical Developments in Data Science, 203–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21158-5_16.
Повний текст джерелаHug, Christoph. "Extracting Artificial Surface Objects from Airborne Laser Scanner Data." In Automatic Extraction of Man-Made Objects from Aerial and Space Images (II), 203–12. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8906-3_20.
Повний текст джерелаWittink, Dick R., and John C. Porter. "Aggregation Bias Resulting from Nonlinearity in Scanner Retail Data." In Operations Research Proceedings 1991, 357–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-46773-8_94.
Повний текст джерелаOkada, A., and A. Miyauchi. "Predicting the Amount of Purchase by a Procedure Using Multidimensional Scaling: An Application to Scanner Data on Beer." In Classification, Data Analysis, and Data Highways, 401–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72087-1_43.
Повний текст джерелаBaltsavias, E. P., and M. Crosetto. "Test and Calibration of a DTP Scanner for GIS Data Acquisition." In Data Acquisition and Analysis for Multimedia GIS, 141–50. Vienna: Springer Vienna, 1996. http://dx.doi.org/10.1007/978-3-7091-2684-4_12.
Повний текст джерелаBuonamici, Francesco, Monica Carfagni, Luca Puggelli, Michaela Servi, and Yary Volpe. "A Fast and Reliable Optical 3D Scanning System for Human Arm." In Lecture Notes in Mechanical Engineering, 268–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_43.
Повний текст джерелаТези доповідей конференцій з теми "Scanner data"
Vieira, Miguel, and Kenji Shimada. "Segmentation of Noisy Laser-Scanner Generated Meshes With Piecewise Polynomial Approximations." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57475.
Повний текст джерелаSchmitz, Anne, and Davide Piovesan. "A Novel Methodology to Determine Optimal Active Marker Scanner Placement." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70285.
Повний текст джерелаJohnston, R. A., and N. B. Price. "RBF patching of laser scanner data." In 2008 23rd International Conference Image and Vision Computing New Zealand (IVCNZ). IEEE, 2008. http://dx.doi.org/10.1109/ivcnz.2008.4762077.
Повний текст джерелаHuang, Yunbao, and Xiaoping Qian. "A Dynamic Sensing-and-Modeling Approach to 3D Point- and Area-Sensor Integration." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21105.
Повний текст джерелаBozkurt, Nesli, Ugur Halici, Ilkay Ulusoy, and Erdem Akagunduz. "3D data processing for enhancement of face scanner data." In 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU). IEEE, 2009. http://dx.doi.org/10.1109/siu.2009.5136431.
Повний текст джерелаGong, Bo, William C. Messner, Tuviah E. Schlesinger, Hadas Shragai, Daniel D. Stancil, and Jinhui Zhai. "Ultrahigh-performance optical servo system using an electro-optic beam scanner." In Optical Data Storage, edited by Douglas G. Stinson and Ryuichi Katayama. SPIE, 2000. http://dx.doi.org/10.1117/12.399375.
Повний текст джерелаSzabo, Csaba, Stefan Korecko, and Branislav Sobota. "Processing 3D scanner data for virtual reality." In 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687085.
Повний текст джерелаXianfang Sun, Paul L. Rosin, Ralph R. Martin, and Frank C. Langbein. "Noise in 3D laser range scanner data." In 2008 IEEE International Conference on Shape Modeling and Applications (SMI). IEEE, 2008. http://dx.doi.org/10.1109/smi.2008.4547945.
Повний текст джерелаAtasoy, Guzide, Pingbo Tang, Jiansong Zhang, and Burcu Akinci. "Visualizing Laser Scanner Data for Bridge Inspection." In 27th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2010. http://dx.doi.org/10.22260/isarc2010/0042.
Повний текст джерелаChen, Qibao, Yi Chiu, Adrian J. Devasahayam, Michael A. Seigler, David N. Lambeth, Tuviah E. Schlesinger, and Daniel D. Stancil. "Waveguide optical scanner with increased deflection sensitivity for optical data storage." In Optical Data Storage '94, edited by David K. Campbell, Martin Chen, and Koichi Ogawa. SPIE, 1994. http://dx.doi.org/10.1117/12.190192.
Повний текст джерелаЗвіти організацій з теми "Scanner data"
Ng, Serena. Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data. Cambridge, MA: National Bureau of Economic Research, August 2017. http://dx.doi.org/10.3386/w23673.
Повний текст джерелаTaylor, James L. Establishing Measurement Uncertainty for the Digital Temperature Scanner Using Calibration Data. Fort Belvoir, VA: Defense Technical Information Center, November 2013. http://dx.doi.org/10.21236/ada594984.
Повний текст джерелаFaber, Benjamin, and Thibault Fally. Firm Heterogeneity in Consumption Baskets: Evidence from Home and Store Scanner Data. Cambridge, MA: National Bureau of Economic Research, January 2017. http://dx.doi.org/10.3386/w23101.
Повний текст джерелаChevalier, Judith, Anil Kashyap, and Peter Rossi. Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data. Cambridge, MA: National Bureau of Economic Research, October 2000. http://dx.doi.org/10.3386/w7981.
Повний текст джерелаGuha, Rishab, and Serena Ng. A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data. Cambridge, MA: National Bureau of Economic Research, May 2019. http://dx.doi.org/10.3386/w25899.
Повний текст джерелаBoffo, C., and P. Bauer. FIONDA (Filtering Images of Niobium Disks Application): Filter application for Eddy Current Scanner data analysis. Office of Scientific and Technical Information (OSTI), May 2005. http://dx.doi.org/10.2172/15020167.
Повний текст джерелаSmyre, J. L., M. E. Hodgson, B. W. Moll, A. L. King, and Yang Cheng. Daytime multispectral scanner aerial surveys of the Oak Ridge Reservation, 1992--1994: Overview of data processing and analysis by the Environmental Restoration Remote Sensing Program, Fiscal year 1995. Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/204019.
Повний текст джерелаBrewster, S. B. Jr, M. E. Howard, and J. E. Shines. A multispectral scanner survey of the Tonopah Test Range, Nevada. Date of survey: August 1993. Office of Scientific and Technical Information (OSTI), August 1994. http://dx.doi.org/10.2172/10196597.
Повний текст джерелаHolden, N. E., and S. Ramavataram. Integral charged particle nuclear data bibliography: Literature scanned from April 11, 1987 through November 10, 1988. Office of Scientific and Technical Information (OSTI), December 1988. http://dx.doi.org/10.2172/6187647.
Повний текст джерелаHolden, N. E., S. Ramavataram, and C. L. Dunford. Integral charged particle nuclear data bibliography: Literature scanned from April 1, 1986 through April 10, 1987. Office of Scientific and Technical Information (OSTI), April 1987. http://dx.doi.org/10.2172/6163940.
Повний текст джерела