Prediction of Surface Subsidence in Mining Areas Based on Ascending-Descending Orbits Small Baseline Subset InSAR and Neural Network Optimization Models

Surface subsidence hazards in mining areas are common geological disasters involving issues such as vegetation degradation and ground collapse during the mining process, which also raise safety concerns. To address the accuracy issues of traditional prediction models and study methods for predicting...

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Hlavní autoři:	Kangtai Chang, Zhifang Zhao, Dingyi Zhou, Zhuyu Tian, Chang Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-07-01
Edice:	Sensors
Témata:	Sentinel-1A SBAS-InSAR two-dimensional deformation decomposition subsidence prediction optimization algorithm
On-line přístup:	https://www.mdpi.com/1424-8220/24/15/4770
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