Enhancing fault detection using CHRRA-Unet and focal loss functions for imbalanced data:A case study in Luoping county,Yunnan,China
Gong Cheng Syed Hussain Yingdong Yang Li Sun Asad Atta Cheng Huang Guangqiang Li Mohammad Naseer Lingyi Liao
Enhancing fault detection using CHRRA-Unet and focal loss functions for imbalanced data:A case study in Luoping county,Yunnan,China
摘要
关键词
Fault detection/Imbalance datasets/Focal loss function/CHRRA-Unet/Hrrformer models/Remote sensing data分类
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Gong Cheng,Syed Hussain,Yingdong Yang,Li Sun,Asad Atta,Cheng Huang,Guangqiang Li,Mohammad Naseer,Lingyi Liao..Enhancing fault detection using CHRRA-Unet and focal loss functions for imbalanced data:A case study in Luoping county,Yunnan,China[J].Artificial Intelligence in Geosciences,2026,7(1):P.16-29,14.基金项目
funded by Comprehensive Remote Sensing for Refined Investigation and Risk Assessment of Geological Hazards in Yunnan Province,grant number YCZH[2020]-68 and The APC was funded by Construction of Yunnan Geological Hazard Identification Center,YCZH[2021]-23 and Fine investigation and risk assessment of geological hazards in key regions of Yunnan Province,YNGH[2021]-168F.Also support was provided by the Chinese Academy of Geological Sciences Basal Research Fund(No.JKYDM2025110) (No.JKYDM2025110)
the Open Project Program of Hebei Province Collaborative Innovation Center for Strategic Critical Mineral Research,Hebei GEO University(No.HGUXT-2024-1) (No.HGUXT-2024-1)
the Geological Survey Project of the China Geological Survey(DD20230366) (DD20230366)
the Open Project of the Technology Innovation Center for Deep Gold Resources Exploration and Mining,Ministry of Natural Resources(No.LDKF-2023BZX-20). (No.LDKF-2023BZX-20)