Identification of Ground Fissures in Mining Areas from UAV Images Based on RDC-UNet

As coal mining deepens, ground fissures in mining areas pose significant risks to safety and the environment. Traditional geological exploration methods are inefficient and costly, making the precise detection of large-scale fissures difficult. Deep learning methods using unmanned aerial vehicle (UA...

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Hlavní autor:	Zhu Huashan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Kaunas University of Technology 2025-04-01
Edice:	Elektronika ir Elektrotechnika
Témata:	mine ground fissures uav images u-net convolutional block attention module depthwise separable convolution
On-line přístup:	https://eejournal.ktu.lt/index.php/elt/article/view/39940
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