Szczegóły publikacji

Opis bibliograficzny

Application of a new semi-automatic algorithm for the detection of subsidence areas in SAR images on the example of the Upper Silesian Coal Basin / Maciej DWORNIK, Justyna BAŁA, Anna FRANCZYK // Energies [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1996-1073. — 2021 — vol. 14 iss. 11 art. no. 3051, s. 1–14. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 13–14, Abstr. — Publikacja dostępna online od: 2021-05-24


Autorzy (3)


Słowa kluczowe

subsidence detectionnumerical algorithmimage analysisDInSAR

Dane bibliometryczne

ID BaDAP134354
Data dodania do BaDAP2021-06-17
Tekst źródłowyURL
DOI10.3390/en14113051
Rok publikacji2021
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaEnergies

Abstract

The article presents a new method of automatic detection of subsidence troughs caused by underground coal mining. Land subsidence that results from mining leads to considerable damage to subsurface and surface infrastructure such as walls of buildings, road surfaces, and water relations in built-up areas. Within next 30 years, all coal mines are to be closed as part of the transformation of the mining industry in Poland. However, this is not going to solve the problem of subsidence in those areas. Thus, it is necessary to detect and constantly monitor such hazards. One of the techniques used for that purpose is DInSAR (differential interferometry synthetic aperture radar). It makes it possible to monitor land deformation over large areas with high accuracy and very good spatial and temporal resolution. Subsidence, particularly related to mining, usually manifests itself in interferograms in the form of elliptical interferometric fringes. An important issue here is partial or full automation of the subsidence detection process, as manual analysis is time-consuming and unreliable. Most of the proposed trough detection methods (i.e., Hough transform, circlet transform, circular Gabor filters, template recognition) focus on the shape of the troughs. They fail, however, when the interferometric fringes do not have distinct elliptical shapes or are very noisy. The method presented in this article is based on the analysis of the variability of the phase value in a micro-area of a relatively high entropy. The algorithm was tested for differential interferograms form the Upper Silesian Coal Basin (southern Poland). Due to mining, the studied area is particularly prone to various types of subsidence.

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artykuł
Automatic detection of subsidence troughs in SAR interferograms using mathematical morphology / Maciej DWORNIK, Stanisława PORZYCKA-STRZELCZYK, Jacek Strzelczyk, Hubert Malik, Radosław Murdzek, Anna FRANCZYK, Justyna BAŁA // Energies [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1996-1073. — 2021 — vol. 14 iss. 22 art. no. 7785, s. 1–11. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 10–11, Abstr. — Publikacja dostępna online od: 2021-11-20. — S. Porzycka-Strzelczyk - dod. afiliacja: SATIM, Krakow
fragment książki
The combination of Sentinel-1A and Sentinel-1B SAR data for ground deformation monitoring within the Upper Silesian Coal Basin / Radosław MURDZEK, Jacek STRZELCZYK, Stanisława PORZYCKA-STRZELCZYK // W: SGEM 2017 : 17th international multidisciplinary scientific geoconference : informatics, geoinformatics and remote sensing : 29 June–5 July, 2017, Albena, Bulgaria : conference proceedings. Vol. 17 iss. 22, Geodesy and mine surveying. — Sofia : STEF92 Technology Ltd., cop. 2017. — (International Multidisciplinary Scientific GeoConference SGEM ; ISSN 1314-2704). — ISBN: 978-619-7408-02-7. — S. 617–623. — Bibliogr. s. 623, Abstr.