An Automated Approach for Mapping Mining-Induced Fissures Using CNNs and UAS Photogrammetry
Kun Wang,
Bowei Wei,
Tongbin Zhao
et al.
Abstract:Understanding the distribution and development patterns of mining-induced fissures is crucial for environmental protection and geological hazard prevention. To address labor-intensive manual inspection, an automated approach leveraging Convolutional Neural Networks (CNNs) and Unmanned Aerial System Photogrammetry (UASP) is proposed for fissure identification and mapping. Initially, the ResNet-50 network was employed for the binary classification of the cropped UASP orthophoto images. A comparative analysis was… Show more
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