Evaluation of a CNN model to map vegetation classification in a subalpine coniferous forest using UAV imagery
Unmanned aerial vehicle (UAV) remote sensing based on deep learning has increasingly been applied for forest vegetation classification. However, existing studies have focused mainly on simple woodlands, and accurately mapping the vegetation distribution in complex natural forests remains challenging...
Saved in:
| Main Authors: | Weibo Shi, Xiaohan Liao, Shaoqiang Wang, Huping Ye, Dongliang Wang, Huanyin Yue, Jianli Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
|
| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125001207 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UAV-OVD: Open-Vocabulary Object Detection in UAV Imagery via Multi-Level Text-Guided Decoding
by: Lijie Tao, et al.
Published: (2025-07-01) -
NoctuDroneNet: Real-Time Semantic Segmentation of Nighttime UAV Imagery in Complex Environments
by: Ruokun Qu, et al.
Published: (2025-01-01) -
UAV-DETR: An Enhanced RT-DETR Architecture for Efficient Small Object Detection in UAV Imagery
by: Yu Zhou, et al.
Published: (2025-07-01) -
Toward resource-efficient UAV systems: Deep learning model compression for onboard-ready weed detection in UAV imagery
by: Alwaseela Abdalla, et al.
Published: (2025-12-01) -
Automatic pine wilt disease detection based on improved YOLOv8 UAV multispectral imagery
by: Shaoxiong Xu, et al.
Published: (2024-12-01)