Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches
Mud volcanoes are geological formations resulting from the expulsion of mud, gases, and fluids from deep underground. Monitoring these formations provides critical insights into subsurface processes and geological hazards. This study focuses on detecting recent mud extrusions in mud volcano environm...
Saved in:
| Main Authors: | M. Guastella, A. Pisciotta, R. Martorana, A. D’Alessandro |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-05-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/169/2025/isprs-archives-XLVIII-M-7-2025-169-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees
by: Oumaima Ameslek, et al.
Published: (2024-12-01) -
Car Detection from Low-Altitude UAV Imagery with the Faster R-CNN
by: Yongzheng Xu, et al.
Published: (2017-01-01) -
Automated Stock Volume Estimation Using UAV-RGB Imagery
by: Anurupa Goswami, et al.
Published: (2024-11-01) -
Comparative Analysis of Deep Learning CNN Models and Traditional Machine Learning Approaches for Land Use Land Cover Classification Using Imagery
by: A. Chaurasia, et al.
Published: (2025-07-01) -
Preliminary analysis of red mud spill based on aerial imagery
by: Péter Burai, et al.
Published: (2011-06-01)