Abstract
In this paper, an automatic algorithm for the detection of subsidence areas in SAR interferograms is proposed. It is based on the analysis of spatial distribution of the interferogram phase, and its coherence and entropy. The developed method was tested for differential interferograms generated on the basis of Sentinel-1 SAR images covering mining areas in South Poland. The obtained results were compared with those achieved using a method based on circular Gabor filters. Performed analysis revealed that the detection rate for the proposed method varied from 34% to 83%. It is an improved method based on Gabor filters that achieved a detection rate from 30% to 53%.
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)
Reference20 articles.
1. Remote Sensing Geology;Gupta,2017
2. InSAR Imaging of Aleutian Volcanoes: Monitoring a Volcanic Arc from Space;Lu,2014
3. X-, C-, and L-Band DInSAR Investigation of the April 6, 2009, Abruzzi Earthquake
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