Исследования Земли из КосмосаИсследования Земли из Космоса0205-9614The Russian Academy of Sciences1272610.31857/S0205-96142019229-44Research ArticleSelection of informative features to highlight areas of waste disposal on high spatial resolution satellite imageryMuryninA. B.amurynin@bk.ruRichterA. A.urfin17@yandex.ruShakhramanyanM. A.7283763@mail.ruAEROCOSMOS Research Institute for Aerospace MonitoringResearch Center "Computer Science and Control" of the Russian Academy of Sciences210520192294419052019Copyright © 2019, Russian academy of sciences2019<p style="text-align: justify;">The paper deals with the problem of integrated interpretation of waste disposal facilities according to satellite imagery and ground truth monitoring, features of space images of landfills from various points of view: texture analysis, statistical properties, fractal analysis, color features, and the possibility of using machine learning methods. The main visual interpretive signs of landfills on optical and radar images of high spatial resolution are given. The fractal dimension of landfills was calculated for high resolution images using two models.</p>visual interpretationwaste disposal facilitylitteringsatellite imagedetectiontextural featuresinformative featuresдистанционное зондированиекосмическое изображениедешифрирование изображенийтвердые коммунальные отходытекстурные признакиинформативные признаки, фрактальный анализ[Bondur V.G. Aerospace methods and technologies for monitoring oil and gas areas and facilities // Izvestiya, Atmospheric and Oceanic Physics. 2011. Vol. 47. № 9. P. 1007–1018. DOI: 10.1134/S0001433811090039][Bondur V.G. Modern approaches to processing large hyperspectral and multispectral aerospace data flows. Izvestiya, Atmospheric and Oceanic Physics. 2014. Vol. 50. № 9.P. 840–852. DOI: 10.1134/S0001433814090060][Bondur V.G., Chimitdorzhiev T.N. 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