Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology

Maciej Dwornik, Stanisława Porzycka-Strzelczyk, Jacek Strzelczyk, Hubert Malik, Radosław Murdzek, Anna Franczyk and Justyna Bała
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Maciej Dwornik: Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland
Stanisława Porzycka-Strzelczyk: Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland
Jacek Strzelczyk: SATIM, 30-046 Krakow, Poland
Hubert Malik: SATIM, 30-046 Krakow, Poland
Radosław Murdzek: SATIM, 30-046 Krakow, Poland
Anna Franczyk: Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland
Justyna Bała: Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland

Energies, 2021, vol. 14, issue 22, 1-11

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%.

Keywords: radar interferometry; subsidence trough; automatic detection; mathematical morphology (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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