Research of percolation at objects for waste disposal according to space image data

M. Kazaryan; V. Voronin

doi:10.1117/12.2558427

18 May 2020 Research of percolation at objects for waste disposal according to space image data

M. Kazaryan, V. Voronin

Proceedings Volume 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX; 113970K (2020) https://doi.org/10.1117/12.2558427
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Remote sensing of the Earth allows receiving information of medium, high spatial resolution, and hyperspectral measurements from spacecraft. The paper studies the percolation processes of the underlying surface of the objects of distribution of household and industrial waste. An algorithm for constructing a percolation threshold is proposed. The method of labeling clusters is used. A mathematical model of the percolation process has been developed. This technique is directly related to the physicochemical processes of the landfill, which can be estimated from space monitoring data. The purpose of the work is to develop and propose a methodology for assessing the percolation parameters of landfills from space images. The results of the proposed algorithm are shown on the example of the Salaryevo solid household and the industrial waste landfill (Leninsky district of the Moscow region).

Citation Download Citation

M. Kazaryan and V. Voronin "Research of percolation at objects for waste disposal according to space image data", Proc. SPIE 11397, Dimensional Optical Metrology and Inspection for Practical Applications IX, 113970K (18 May 2020); https://doi.org/10.1117/12.2558427

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