Ground Fissure Identification in Mining Areas from UAV Images Based on DN-CAMSCBNet
The development and use of mine resources have had many adverse impacts on the environment of mining areas. Among them, ground fissures are the most serious. They not only threaten the ecological protection of mining areas but also hinder the sustainable exploitation of energy. To mitigate the damag...
Saved in:
| Main Authors: | Haibin Hu, Xinhui Guo, Jie Xiao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Kaunas University of Technology
2025-02-01
|
| Series: | Elektronika ir Elektrotechnika |
| Subjects: | |
| Online Access: | https://eejournal.ktu.lt/index.php/elt/article/view/39481 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of Ground Fissures in Mining Areas from UAV Images Based on RDC-UNet
by: Zhu Huashan
Published: (2025-04-01) -
Influence of mining-induced ground fissures with different widths on soil anti-scourability in northern Shaanxi coal mining area in the middle reaches of the Yellow River
by: Shijie SONG, et al.
Published: (2025-02-01) -
Quantifying Thermal Spatiotemporal Signatures and Identifying Hidden Mining-Induced Fissures with Various Burial Depths via UAV Infrared Thermometry
by: Duo Xu, et al.
Published: (2025-06-01) -
Enhanced Ground Fissure Detection in Mining Areas Based on Visible–Infrared Image Fusion and YOLOv5
by: Yixin Zhao, et al.
Published: (2025-01-01) -
Formation and evolution law of high-intensity mining ground fissures and damage reduction method
by: Xiaobin LI, et al.
Published: (2024-12-01)