Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology

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 t...

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Autores principales:	Maciej Dwornik, Stanisława Porzycka-Strzelczyk, Jacek Strzelczyk, Hubert Malik, Radosław Murdzek, Anna Franczyk, Justyna Bała
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	radar interferometry subsidence trough automatic detection mathematical morphology Technology T
Acceso en línea:	https://doaj.org/article/825547f9899e44f59668812e12c5d320
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id	oai:doaj.org-article:825547f9899e44f59668812e12c5d320
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spelling	oai:doaj.org-article:825547f9899e44f59668812e12c5d3202021-11-25T17:28:45ZAutomatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology10.3390/en142277851996-1073https://doaj.org/article/825547f9899e44f59668812e12c5d3202021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7785https://doaj.org/toc/1996-1073In 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%.Maciej DwornikStanisława Porzycka-StrzelczykJacek StrzelczykHubert MalikRadosław MurdzekAnna FranczykJustyna BałaMDPI AGarticleradar interferometrysubsidence troughautomatic detectionmathematical morphologyTechnologyTENEnergies, Vol 14, Iss 7785, p 7785 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	radar interferometry subsidence trough automatic detection mathematical morphology Technology T
spellingShingle	radar interferometry subsidence trough automatic detection mathematical morphology Technology T Maciej Dwornik Stanisława Porzycka-Strzelczyk Jacek Strzelczyk Hubert Malik Radosław Murdzek Anna Franczyk Justyna Bała Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology
description	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%.
format	article
author	Maciej Dwornik Stanisława Porzycka-Strzelczyk Jacek Strzelczyk Hubert Malik Radosław Murdzek Anna Franczyk Justyna Bała
author_facet	Maciej Dwornik Stanisława Porzycka-Strzelczyk Jacek Strzelczyk Hubert Malik Radosław Murdzek Anna Franczyk Justyna Bała
author_sort	Maciej Dwornik
title	Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology
title_short	Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology
title_full	Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology
title_fullStr	Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology
title_full_unstemmed	Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology
title_sort	automatic detection of subsidence troughs in sar interferograms using mathematical morphology
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/825547f9899e44f59668812e12c5d320
work_keys_str_mv	AT maciejdwornik automaticdetectionofsubsidencetroughsinsarinterferogramsusingmathematicalmorphology AT stanisławaporzyckastrzelczyk automaticdetectionofsubsidencetroughsinsarinterferogramsusingmathematicalmorphology AT jacekstrzelczyk automaticdetectionofsubsidencetroughsinsarinterferogramsusingmathematicalmorphology AT hubertmalik automaticdetectionofsubsidencetroughsinsarinterferogramsusingmathematicalmorphology AT radosławmurdzek automaticdetectionofsubsidencetroughsinsarinterferogramsusingmathematicalmorphology AT annafranczyk automaticdetectionofsubsidencetroughsinsarinterferogramsusingmathematicalmorphology AT justynabała automaticdetectionofsubsidencetroughsinsarinterferogramsusingmathematicalmorphology
_version_	1718412295505182720

Automatic Detection of Subsidence Troughs in SAR Interferograms Using Mathematical Morphology

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