Models And Methods Of Data Processing Remote Sensing
Valery Mikhailovich Grishkin , Candidate Of Technical Sciences, Associate Professor, Saint Petersburg State University, Saint Petersburg, Russia Sardor Ilhom Ugli Karimov , Postgraduate Student, Saint Petersburg State University, Saint Petersburg, RussiaAbstract
Visual interpretation, which has long been the main method for interpreting remote sensing data, is laborious, not always effective, and sometimes impossible, for example, when examining images with a large number of spectral channels. In addition, it is difficult to visually recognize images of objects whose dimensions or the dimensions of their parts are on the border of the spatial resolution of the image. Therefore, it is advisable to use automated classification methods. However, the classification of space images by existing per-pixel methods implemented in standard software products for processing remote sensing data does not always lead to correct results.
Keywords
Automated processing, workflow, real time, satellite image, agriculture, surface reflectance
References
Weber, Robert A., and Kevin M. O’Connell. "Alternative futures: United States commercial satellite imagery in 2020." Department of Commercial, Commercial Remote Sensing Regulatory Affairs (2011).
Savinykh, V. P. Geoinformation analysis of remote sensing data / V. P. Savinykh, V. Ya. Tsvetkov - M .: Kartgeocenter - Geodezizdat. –2001. - 228 p.
Tokareva, OS Processing and interpretation of Earth remote sensing data. Textbook / O.S. Tokareva. - Tomsk: Publishing house of the Tomsk Polytechnic University, 2010. - 148 p.
Chandra, AM Remote sensing and geographic information systems / AM Chandra, SK Gosh. - M .: Technosphere, 2008. –312 p.
Shovengerdt, RA Remote sensing. Methods and models of image processing / R. A. Shovengerdt. - M .: Technosphere, 2010 .-- 560 p.
Labutina, IA Deciphering aerospace images: Textbook for university students / IA Labutina. - M .: Aspect Press, 2004 .-- 184 p.
Knizhnikov, Yu. F. Aerospace methods of geographical research / Yu. F. Knizhnikov, VI Kravtsova, OV Tutubalina - M.: Publishing Center "Academy", 2004. - 336 p.
Lurie, IK Geoinformation mapping. Methods of geoinformatics and digital processing of space images: textbook / IK Lurie. - M .: KDU, 2008 .-- 424 p.
Afanasiev, NF Mathematical methods in geological interpretation of aerial photographs / N.F. Afanasyev, K.M. Petrov, A.V. Teosev et al. - M .: Nedra, 1981. - 280 p.
Space and radar space imagery of the Earth of high and ultra-high resolution. Sovzond [electronic resource]. URL: http://www.sovzond.ru/products/spatial-data/satellites (date of access: 02.10.2016).
Kuchko, AS Aerial photography / AS Kuchko. - M .: Nedra, 1974 .-- 272 p.
Voronov, A. G. Geobotany / A. G. Voronov. - M .: Higher school, 1973. –384 p.
Zhivichin, A. N. Deciphering photographic images / A. N. Zhivichin, V. S. Sokolov. - M .: Nedra, 1980 - 253 p.
Акрамова Г. А., Каримов С. И. У., Абдулхамидов А. А. У. УСТОЙЧИВОСТЬ ИЗМЕРЕНИЯ С ПОМОЩЬЮ ОДНОРАНГОВЫХ СЕТЕЙ И КАНАЛОВ ОПТИМИЗАЦИИ //Universum: технические науки. – 2020. – №. 2-1 (71).
Karimov U. et al. USING NEW INFORMATION TECHNOLOGIES IN DISTANCE LEARNING SYSTEM //НОВАЯ ПРОМЫШЛЕННАЯ РЕВОЛЮЦИЯ В ЗЕРКАЛЕ СОВРЕМЕННОЙ НАУКИ. – 2018. – С. 9-11.
R.Khamdamov, U.Begimkulov, N.Taylokov. Information technology in education. Tashkent, 2010.
Article Statistics
Copyright License
Copyright (c) 2021 The American Journal of Engineering and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.