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Automatic Subsidence Troughs Detection in SAR Interferograms Using Circlet Transform

This article presents the results of automatic detection of subsidence troughs in synthetic aperture radar (SAR) interferograms. The detection of subsidence troughs is based on the circlet transform, which is able to detect features with circular shapes. Compared to other methods of detecting circle...

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Detalles Bibliográficos
Autores principales: Bała, Justyna, Dwornik, Maciej, Franczyk, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958115/
https://www.ncbi.nlm.nih.gov/pubmed/33801252
http://dx.doi.org/10.3390/s21051706
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author Bała, Justyna
Dwornik, Maciej
Franczyk, Anna
author_facet Bała, Justyna
Dwornik, Maciej
Franczyk, Anna
author_sort Bała, Justyna
collection PubMed
description This article presents the results of automatic detection of subsidence troughs in synthetic aperture radar (SAR) interferograms. The detection of subsidence troughs is based on the circlet transform, which is able to detect features with circular shapes. Compared to other methods of detecting circles, the circular transform takes into account the finite data frequency. Moreover, the search shape is not limited to a circle but identified on the basis of a certain width. This is especially important in the case of detection of subsidence troughs whose shapes may not be similar to circles or ellipses but to their fragments. The transformation works directly on the image gradient; it does not require further binary segmentation or edge detection as in the case of other methods, e.g., the Hough transform. The entire processing process can be automated to save time and increase reliability compared to traditional methods. The proposed automatic detection method was tested on a differential interferogram that was generated based on Sentinel-1A SAR images of the Upper Silesian Coal Basin area. The test carried out showed that the proposed method is 20% more effective in detecting troughs that than the method using Hough transform.
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spelling pubmed-79581152021-03-16 Automatic Subsidence Troughs Detection in SAR Interferograms Using Circlet Transform Bała, Justyna Dwornik, Maciej Franczyk, Anna Sensors (Basel) Communication This article presents the results of automatic detection of subsidence troughs in synthetic aperture radar (SAR) interferograms. The detection of subsidence troughs is based on the circlet transform, which is able to detect features with circular shapes. Compared to other methods of detecting circles, the circular transform takes into account the finite data frequency. Moreover, the search shape is not limited to a circle but identified on the basis of a certain width. This is especially important in the case of detection of subsidence troughs whose shapes may not be similar to circles or ellipses but to their fragments. The transformation works directly on the image gradient; it does not require further binary segmentation or edge detection as in the case of other methods, e.g., the Hough transform. The entire processing process can be automated to save time and increase reliability compared to traditional methods. The proposed automatic detection method was tested on a differential interferogram that was generated based on Sentinel-1A SAR images of the Upper Silesian Coal Basin area. The test carried out showed that the proposed method is 20% more effective in detecting troughs that than the method using Hough transform. MDPI 2021-03-02 /pmc/articles/PMC7958115/ /pubmed/33801252 http://dx.doi.org/10.3390/s21051706 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Bała, Justyna
Dwornik, Maciej
Franczyk, Anna
Automatic Subsidence Troughs Detection in SAR Interferograms Using Circlet Transform
title Automatic Subsidence Troughs Detection in SAR Interferograms Using Circlet Transform
title_full Automatic Subsidence Troughs Detection in SAR Interferograms Using Circlet Transform
title_fullStr Automatic Subsidence Troughs Detection in SAR Interferograms Using Circlet Transform
title_full_unstemmed Automatic Subsidence Troughs Detection in SAR Interferograms Using Circlet Transform
title_short Automatic Subsidence Troughs Detection in SAR Interferograms Using Circlet Transform
title_sort automatic subsidence troughs detection in sar interferograms using circlet transform
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958115/
https://www.ncbi.nlm.nih.gov/pubmed/33801252
http://dx.doi.org/10.3390/s21051706
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