Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring
Ground surface subsidence is a universal phenomenon in coal mining areas which can cause serious damage to the surrounding environment. In this paper, we consider the use of differential interferometric synthetic aperture radar (D-InSAR), multi-temporal InSAR (MT-InSAR), and the pixel offset trackin...
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doaj-6b35bc6f60e144298cc905ffe8b1b0952020-11-24T22:01:11ZengMDPI AGRemote Sensing2072-42922018-07-01107105510.3390/rs10071055rs10071055Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation MonitoringDepin Ou0Kun Tan1Qian Du2Yu Chen3Jianwei Ding4Key Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou 221116, ChinaKey Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou 221116, ChinaDepartment of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762, USAKey Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou 221116, ChinaKey Laboratory for Land Environment and Disaster Monitoring of NASG, China University of Mining and Technology, Xuzhou 221116, ChinaGround surface subsidence is a universal phenomenon in coal mining areas which can cause serious damage to the surrounding environment. In this paper, we consider the use of differential interferometric synthetic aperture radar (D-InSAR), multi-temporal InSAR (MT-InSAR), and the pixel offset tracking technique to monitor the surface deformation of a coal mining area. In this study, we use the two-pass D-InSAR method to generate 19 interferometric image pairs from 20 TerraSAR-X SpotLight images. The results show that D-InSAR can be used to obtain high accuracy surface deformation in the mining areas where there is no high gradient deformation, and the pixel offset tracking method offers advantages in those areas where high gradient deformation is found, but its performance is not stable. This means that the unilateral use of these technologies cannot obtain reliable subsidence information in mining areas. Therefore, it is essential to find a new way to integrate the respective advantages of these different methods. In this paper, a new fusion method combining the D-InSAR result with the offset tracking result based on a spatial decorrelation distribution map is proposed to obtain the subsidence results in a mining area. To ensure the reliability of the results, a decision rule is proposed for the spatial decorrelation distribution map, which is generated manually by union analysis in ArcGIS. In the experiments, the mean absolute error of the fusion result is 0.0748 m, while that of D-InSAR is 0.1890 m, and that of offset tracking is 0.1358 m. It is therefore clear that the proposed fusion method is more reliable and more accurate than the use of individual methods, and it may be able to serve as a reference in mining subsidence monitoring.http://www.mdpi.com/2072-4292/10/7/1055D-InSARMT-InSARoffset trackingmining subsidencedecision fusion |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Depin Ou Kun Tan Qian Du Yu Chen Jianwei Ding |
spellingShingle |
Depin Ou Kun Tan Qian Du Yu Chen Jianwei Ding Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring Remote Sensing D-InSAR MT-InSAR offset tracking mining subsidence decision fusion |
author_facet |
Depin Ou Kun Tan Qian Du Yu Chen Jianwei Ding |
author_sort |
Depin Ou |
title |
Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring |
title_short |
Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring |
title_full |
Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring |
title_fullStr |
Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring |
title_full_unstemmed |
Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring |
title_sort |
decision fusion of d-insar and pixel offset tracking for coal mining deformation monitoring |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2018-07-01 |
description |
Ground surface subsidence is a universal phenomenon in coal mining areas which can cause serious damage to the surrounding environment. In this paper, we consider the use of differential interferometric synthetic aperture radar (D-InSAR), multi-temporal InSAR (MT-InSAR), and the pixel offset tracking technique to monitor the surface deformation of a coal mining area. In this study, we use the two-pass D-InSAR method to generate 19 interferometric image pairs from 20 TerraSAR-X SpotLight images. The results show that D-InSAR can be used to obtain high accuracy surface deformation in the mining areas where there is no high gradient deformation, and the pixel offset tracking method offers advantages in those areas where high gradient deformation is found, but its performance is not stable. This means that the unilateral use of these technologies cannot obtain reliable subsidence information in mining areas. Therefore, it is essential to find a new way to integrate the respective advantages of these different methods. In this paper, a new fusion method combining the D-InSAR result with the offset tracking result based on a spatial decorrelation distribution map is proposed to obtain the subsidence results in a mining area. To ensure the reliability of the results, a decision rule is proposed for the spatial decorrelation distribution map, which is generated manually by union analysis in ArcGIS. In the experiments, the mean absolute error of the fusion result is 0.0748 m, while that of D-InSAR is 0.1890 m, and that of offset tracking is 0.1358 m. It is therefore clear that the proposed fusion method is more reliable and more accurate than the use of individual methods, and it may be able to serve as a reference in mining subsidence monitoring. |
topic |
D-InSAR MT-InSAR offset tracking mining subsidence decision fusion |
url |
http://www.mdpi.com/2072-4292/10/7/1055 |
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