LADSDIn: LiCSAR-Based Anomaly Detector of Seismic Deformation in InSAR
Manual analysis of LiCSAR deformation data in tectonic zones and timely detection of pre-earthquake anomalous activity are very time-consuming. To solve this problem, an LiCSAR-based anomaly detector of seismic deformation in interferometric synthetic aperture radar (LADSDIn) is constructed in this...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10113709/ |
| _version_ | 1797805964112429056 |
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| author | Xianjian Shi Bin Pan |
| author_facet | Xianjian Shi Bin Pan |
| author_sort | Xianjian Shi |
| collection | DOAJ |
| description | Manual analysis of LiCSAR deformation data in tectonic zones and timely detection of pre-earthquake anomalous activity are very time-consuming. To solve this problem, an LiCSAR-based anomaly detector of seismic deformation in interferometric synthetic aperture radar (LADSDIn) is constructed in this article. LADSDIn can automatically detect and extract anomalous activity and seismic deformation in tectonic zones. LADSDIn is modeled by learning the spatiotemporal characteristics of MTInSAR time series deformation data to detect abnormal deformation. The detector considers transients that deviate from the “predicted” deformation, which are considered “anomalous.” For earthquake-prone regions, “anomalies” with outlier characteristics in spatial and temporal properties are usually the deformations caused by seismic activities. We successfully applied LADSDIn to January 8, 2022, Menyuan Mw 6.7 earthquake in China, and LADSDIn successfully detected the extent of ground deformation induced by this seismic activity. The results show that the deformation range of the ascending track is −350–87 mm, and the deformation range of the descending track is −127–132 mm. The detector successfully detected the “anomalous deformation” signs before the earthquake (November 2021). In addition, LADSDIn supports parallel processing in chunks to reduce computation time. The characteristics of LADSDIn facilitate cluster deployment and use for automatic detection and extraction of seismic deformation in global tectonic zones. This work provides theoretical support for the automation and refinement study of global seismic activity. |
| first_indexed | 2024-03-13T05:59:45Z |
| format | Article |
| id | doaj.art-0d0ce27384374da4b444157a0aeab621 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-03-13T05:59:45Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-0d0ce27384374da4b444157a0aeab6212023-06-12T23:00:45ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01164400441310.1109/JSTARS.2023.327202610113709LADSDIn: LiCSAR-Based Anomaly Detector of Seismic Deformation in InSARXianjian Shi0https://orcid.org/0000-0002-3741-8780Bin Pan1https://orcid.org/0000-0001-7513-6533School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaManual analysis of LiCSAR deformation data in tectonic zones and timely detection of pre-earthquake anomalous activity are very time-consuming. To solve this problem, an LiCSAR-based anomaly detector of seismic deformation in interferometric synthetic aperture radar (LADSDIn) is constructed in this article. LADSDIn can automatically detect and extract anomalous activity and seismic deformation in tectonic zones. LADSDIn is modeled by learning the spatiotemporal characteristics of MTInSAR time series deformation data to detect abnormal deformation. The detector considers transients that deviate from the “predicted” deformation, which are considered “anomalous.” For earthquake-prone regions, “anomalies” with outlier characteristics in spatial and temporal properties are usually the deformations caused by seismic activities. We successfully applied LADSDIn to January 8, 2022, Menyuan Mw 6.7 earthquake in China, and LADSDIn successfully detected the extent of ground deformation induced by this seismic activity. The results show that the deformation range of the ascending track is −350–87 mm, and the deformation range of the descending track is −127–132 mm. The detector successfully detected the “anomalous deformation” signs before the earthquake (November 2021). In addition, LADSDIn supports parallel processing in chunks to reduce computation time. The characteristics of LADSDIn facilitate cluster deployment and use for automatic detection and extraction of seismic deformation in global tectonic zones. This work provides theoretical support for the automation and refinement study of global seismic activity.https://ieeexplore.ieee.org/document/10113709/Automatic processingdeformation monitoringearthquakeinterferometric synthetic aperture radarSentinel-1 |
| spellingShingle | Xianjian Shi Bin Pan LADSDIn: LiCSAR-Based Anomaly Detector of Seismic Deformation in InSAR IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Automatic processing deformation monitoring earthquake interferometric synthetic aperture radar Sentinel-1 |
| title | LADSDIn: LiCSAR-Based Anomaly Detector of Seismic Deformation in InSAR |
| title_full | LADSDIn: LiCSAR-Based Anomaly Detector of Seismic Deformation in InSAR |
| title_fullStr | LADSDIn: LiCSAR-Based Anomaly Detector of Seismic Deformation in InSAR |
| title_full_unstemmed | LADSDIn: LiCSAR-Based Anomaly Detector of Seismic Deformation in InSAR |
| title_short | LADSDIn: LiCSAR-Based Anomaly Detector of Seismic Deformation in InSAR |
| title_sort | ladsdin licsar based anomaly detector of seismic deformation in insar |
| topic | Automatic processing deformation monitoring earthquake interferometric synthetic aperture radar Sentinel-1 |
| url | https://ieeexplore.ieee.org/document/10113709/ |
| work_keys_str_mv | AT xianjianshi ladsdinlicsarbasedanomalydetectorofseismicdeformationininsar AT binpan ladsdinlicsarbasedanomalydetectorofseismicdeformationininsar |