An Automatic Method for Delimiting Deformation Area in InSAR Based on HNSW-DBSCAN Clustering Algorithm

InSAR (Interferometric Synthetic Aperture Radar) is widely recognized as a crucial remote sensing tool for monitoring various geological disasters because it provides all-day and all-weather monitoring. Nevertheless, the current interpretation methods for InSAR heavily depend on the interpreter’s ex...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 15; H. 17; S. 4287
Hauptverfasser:	Han, Jianfeng, Guo, Xuefei, Jiao, Runcheng, Nan, Yun, Yang, Honglei, Ni, Xuan, Zhao, Danning, Wang, Shengyu, Ma, Xiaoxue, Yan, Chi, Ma, Chi, Zhao, Jia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2023
Schlagworte:	Accuracy Algorithms Automation Beijing China Cluster analysis Clustering Comparative analysis Data processing Datasets DBSCAN Deformation Deformations (Mechanics) Digital Elevation Models Efficiency Geological hazards Geology HNSW Identification and classification InSAR Interferometric synthetic aperture radar Interferometry IPTA Landslides & mudslides Measurement Methods Monitoring Morphology Mountain regions Mountainous areas mountains Remote sensing Synthetic aperture radar Technology application Technology assessment traditional technology China Beijing China
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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