LAPSE:2023.34581
Published Article
LAPSE:2023.34581
Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology
April 27, 2023
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
automatic detection, mathematical morphology, radar interferometry, subsidence trough
Subject
Suggested Citation
Dwornik M, Porzycka-Strzelczyk S, Strzelczyk J, Malik H, Murdzek R, Franczyk A, Bała J. Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology. (2023). LAPSE:2023.34581
Author Affiliations
Dwornik M: Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland [ORCID]
Porzycka-Strzelczyk S: Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland; SATIM, 30-046 Krakow, Poland [ORCID]
Strzelczyk J: SATIM, 30-046 Krakow, Poland [ORCID]
Malik H: SATIM, 30-046 Krakow, Poland
Murdzek R: SATIM, 30-046 Krakow, Poland
Franczyk A: Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland [ORCID]
Bała J: Department of Geoinformatics and Applied Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland [ORCID]
Journal Name
Energies
Volume
14
Issue
22
First Page
7785
Year
2021
Publication Date
2021-11-20
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14227785, Publication Type: Journal Article
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LAPSE:2023.34581
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doi:10.3390/en14227785
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Apr 27, 2023
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