Application of SAR Offset Tracking Based on Dynamic Window Using Local Features for Landslides in Mining Areas
The inability of traditional offset tracking to adapt the feature window to changes in surface feature density limits its effectiveness in monitoring complex surface deformations. This study addresses this issue by proposing a local feature extraction method based on different coordinate grid areas...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10747245/ |
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| _version_ | 1832540566126067712 |
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| author | Yuejuan Chen Dejun Zhao Pingping Huang Weixian Tan Bo Yin Yaolong Qi Xianglei Li Yang Liu |
| author_facet | Yuejuan Chen Dejun Zhao Pingping Huang Weixian Tan Bo Yin Yaolong Qi Xianglei Li Yang Liu |
| author_sort | Yuejuan Chen |
| collection | DOAJ |
| description | The inability of traditional offset tracking to adapt the feature window to changes in surface feature density limits its effectiveness in monitoring complex surface deformations. This study addresses this issue by proposing a local feature extraction method based on different coordinate grid areas and combining multiscale analysis and multiangle dynamic thresholds. The study uses principal component analysis to select the main variation components for local feature values and dynamically adjust the initial feature window method in conjunction with the variation coefficient. Finally, the study separately employs the structural time series model and spatial autocorrelation to evaluate and compare the performance of the dynamic window and the fixed window, using the offset results to analyze potential causes of landslides. The research indicates that the dynamic window size can effectively capture the complex characteristics of areas with severe deformation and ensure data integrity in landslide edge areas. |
| format | Article |
| id | doaj-art-e0464988fc1a4859a21cc985e9ef1cd7 |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-e0464988fc1a4859a21cc985e9ef1cd72025-02-05T00:00:11ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01184619463910.1109/JSTARS.2024.349253410747245Application of SAR Offset Tracking Based on Dynamic Window Using Local Features for Landslides in Mining AreasYuejuan Chen0Dejun Zhao1https://orcid.org/0009-0001-6016-5849Pingping Huang2https://orcid.org/0000-0001-7720-1183Weixian Tan3https://orcid.org/0000-0001-9071-9470Bo Yin4https://orcid.org/0009-0000-1782-4370Yaolong Qi5Xianglei Li6Yang Liu7Inner Mongolia Key Laboratory of Radar Technology and Application, School of Information Engineering, Inner Mongolia University of Technology, Hohhot, ChinaInner Mongolia Key Laboratory of Radar Technology and Application, School of Information Engineering, Inner Mongolia University of Technology, Hohhot, ChinaInner Mongolia Key Laboratory of Radar Technology and Application, School of Information Engineering, Inner Mongolia University of Technology, Hohhot, ChinaInner Mongolia Key Laboratory of Radar Technology and Application, School of Information Engineering, Inner Mongolia University of Technology, Hohhot, ChinaCollege of Resource and Environmental Engineering, Inner Mongolia Key Laboratory of Radar Technology and Application, Inner Mongolia University of Technology, Hohhot, ChinaInner Mongolia Key Laboratory of Radar Technology and Application, School of Information Engineering, Inner Mongolia University of Technology, Hohhot, ChinaInner Mongolia Key Laboratory of Radar Technology and Application, School of Information Engineering, Inner Mongolia University of Technology, Hohhot, ChinaInner Mongolia Key Laboratory of Radar Technology and Application, School of Information Engineering, Inner Mongolia University of Technology, Hohhot, ChinaThe inability of traditional offset tracking to adapt the feature window to changes in surface feature density limits its effectiveness in monitoring complex surface deformations. This study addresses this issue by proposing a local feature extraction method based on different coordinate grid areas and combining multiscale analysis and multiangle dynamic thresholds. The study uses principal component analysis to select the main variation components for local feature values and dynamically adjust the initial feature window method in conjunction with the variation coefficient. Finally, the study separately employs the structural time series model and spatial autocorrelation to evaluate and compare the performance of the dynamic window and the fixed window, using the offset results to analyze potential causes of landslides. The research indicates that the dynamic window size can effectively capture the complex characteristics of areas with severe deformation and ensure data integrity in landslide edge areas.https://ieeexplore.ieee.org/document/10747245/Dynamic windowlocal characteristicsprincipal component analysissurface deformation monitoringvariation coefficient |
| spellingShingle | Yuejuan Chen Dejun Zhao Pingping Huang Weixian Tan Bo Yin Yaolong Qi Xianglei Li Yang Liu Application of SAR Offset Tracking Based on Dynamic Window Using Local Features for Landslides in Mining Areas IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Dynamic window local characteristics principal component analysis surface deformation monitoring variation coefficient |
| title | Application of SAR Offset Tracking Based on Dynamic Window Using Local Features for Landslides in Mining Areas |
| title_full | Application of SAR Offset Tracking Based on Dynamic Window Using Local Features for Landslides in Mining Areas |
| title_fullStr | Application of SAR Offset Tracking Based on Dynamic Window Using Local Features for Landslides in Mining Areas |
| title_full_unstemmed | Application of SAR Offset Tracking Based on Dynamic Window Using Local Features for Landslides in Mining Areas |
| title_short | Application of SAR Offset Tracking Based on Dynamic Window Using Local Features for Landslides in Mining Areas |
| title_sort | application of sar offset tracking based on dynamic window using local features for landslides in mining areas |
| topic | Dynamic window local characteristics principal component analysis surface deformation monitoring variation coefficient |
| url | https://ieeexplore.ieee.org/document/10747245/ |
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