UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery
In recent years, with the rapid development of unmanned aerial vehicle (UAV) technology, low-altitude remote sensing imagery has been increasingly applied in urban planning, environmental monitoring, and disaster management. However, due to large variations in object scales and complex boundaries of...
Saved in:
| Main Authors: | Dongbo Zhou, Huan Wang, Shiyan Pang, Di Chen, Huang Yao, Jie Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11098848/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MFDAFF-Net: Multiscale Frequency-Aware and Dual Attention-Guided Feature Fusion Network for UAV Imagery Object Detection
by: Shu Tian, et al.
Published: (2025-01-01) -
Mamba-UAV-SegNet: A Multi-Scale Adaptive Feature Fusion Network for Real-Time Semantic Segmentation of UAV Aerial Imagery
by: Longyang Huang, et al.
Published: (2024-11-01) -
LEGAL REGULATIONS OF UAVS IN POLAND AND FRANCE
by: Karolina HELNARSKA, et al.
Published: (2018-12-01) -
Video Instance Segmentation Through Hierarchical Offset Compensation and Temporal Memory Update for UAV Aerial Images
by: Ying Huang, et al.
Published: (2025-07-01) -
A Comparative Study of Deep Semantic Segmentation and UAV-Based Multispectral Imaging for Enhanced Roadside Vegetation Composition Assessment
by: Puranjit Singh, et al.
Published: (2025-06-01)