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Proceedings Paper

The automated space-monitoring system of waste disposal sites
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Paper Abstract

Remote sensing of the Earth allows to receive information of medium, a high spatial resolution from space vehicles and to conduct hyperspectral measurements. In many cases, waste disposal sites (WDS) is not legal. So, it is very important to use the system for automatic detection such places using satellite images. In this paper, a model of the automated space monitoring system for the presence of waste disposal sites is developed. The proposed system includes the following blocks: a database of WDS; a subsystem for detecting unauthorized WDS; a subsystem for monitoring the design, operation and reclamation rules for existing WDS; a subsystem for estimating the parameters of the WDS and their impact on the environment; a subsystem of satellite monitoring. We propose a method of detecting high-rise buildings landfills, such as municipal dumps and solid waste, according to a radar image (the height of the ground level). For system design, we use the apparatus of discrete orthogonal transformations. The impact of the WDS influence on agricultural crops is analyzed, based on the data of the Earth remote space sensing based on the orthogonal transform. The purpose of the work is the modeling of an automated space monitoring system for the presence of waste disposal facilities using regularization method in the problem of filtering of space images from the noise stored in the archives. As a result, the proposed method demonstrates good accuracy in detection the solid waste disposal site on real satellite images.

Paper Details

Date Published: 9 October 2018
PDF: 9 pages
Proc. SPIE 10793, Remote Sensing Technologies and Applications in Urban Environments III, 1079318 (9 October 2018); doi: 10.1117/12.2500059
Show Author Affiliations
M. Kazaryan, Financial Univ. under the Government of the Russian Federation (Russian Federation)
M. Shahramanian, Research Institute “AEROKOSMOS” (Russian Federation)
V. Voronin, Don State Technical Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 10793:
Remote Sensing Technologies and Applications in Urban Environments III
Thilo Erbertseder; Nektarios Chrysoulakis; Ying Zhang, Editor(s)

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