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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Xehetasun bibliografikoak

Egile Nagusiak:	Kangtai Chang, Zhifang Zhao, Dingyi Zhou, Zhuyu Tian, Chang Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2024-07-01
Saila:	Sensors
Gaiak:	Sentinel-1A SBAS-InSAR two-dimensional deformation decomposition subsidence prediction optimization algorithm
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/24/15/4770
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