Engineering & Technologies, 2016, 9(7), 994-1000 ~ ~ ~ УДК 528.88 Processing of SAR Amplitude Images with Posting the Results on Web Server Maria R. Ponomarenko*a b and Ilya Yu. <...> Petersburg Mining University 2, 21 Line, Saint Petersburg 199106, Russia St. Petersburg Institute of Informatics and Automation RAS 39, 14 Line, Saint Petersburg, 199178, Russia Received 19.04.2016, received in revised form 28.07.2016, accepted 19.09.2016 The paper presents the processing and analysis of COSMO-SkyMED and Sentinel-1A amplitude images using texture analysis, image classifi cation, composite images, and interpretation. <...> It also describes the method of visualization the remote sensing data by placing it in analytical information system «RegionView». <...> Processing of SAR amplitude images with posting the results on web server, J. Sib. <...> All rights reserved * Corresponding author E-mail address: pnmry@yandex.ru # 994 # Санкт-Петербургский институт информатики и автоматизации РАН Maria R. Ponomarenko and Ilya Yu. <...> Processing of SAR Amplitude Images with Posting the Results on Web Server Ключевые слова: радарные снимки, амплитудная информация, Sentinel-1A, Cosmo-SkyMED, веб-картография. <...> Introduction Amplitude information of synthetic aperture radar (SAR) images is widely applied to study the Earth’s surface. <...> A lot of vegetation, soil, farmland, urban areas studies, also topographic and thematic mapping are based on amplitude data. <...> The key processing methods are texture analysis, image classifi cation, composite images, and interpretation. <...> In case of single polarization data, the most appropriate tool is texture analysis [1, 2]. <...> There are different approaches to texture description, for instance, the statistical approach uses grey-level co-occcurance matrix (GLCM) to calculate features that can be combined into RGB-composite for further interpretation [3, 4]. <...> The speckle noise on radar images is used for calculation of texture feature as speckle divergence. <...> The combination of speckle divergence and intensity can applied for identifi cation of urban areas with high accuracy [5]. <...> The different types of image classifi cation can be used for textural images as well as original data. <...> The most commonly used <...>