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Automatic identification of mining-induced subsidence using deep convolutional networks based on time-series InSAR data: a case study of Huodong mining area in Shanxi Province, China

Ning Xi, Gang Mei, Ziyang Liu, Nengxiong Xu

2023Bulletin of Engineering Geology and the Environment18 citationsDOI

Topics & Concepts

Interferometric synthetic aperture radarSubsidenceGroundwater-related subsidenceConvolutional neural networkGeologyIdentification (biology)Deformation (meteorology)Synthetic aperture radarDeep learningRemote sensingMining engineeringArtificial intelligenceComputer scienceGeomorphologyBotanyOceanographyStructural basinBiologySynthetic Aperture Radar (SAR) Applications and TechniquesGeophysical Methods and ApplicationsRock Mechanics and Modeling
Automatic identification of mining-induced subsidence using deep convolutional networks based on time-series InSAR data: a case study of Huodong mining area in Shanxi Province, China | Litcius