Remote Sensing Image-Based Building Change Detection: A Case Study of the Qinling Mountains in China
With the widespread application of deep learning in Earth observation, remote sensing image-based building change detection has achieved numerous groundbreaking advancements. However, differences across time periods caused by temporal variations in land cover, as well as the complex spatial structur...
Saved in:
Main Authors: | Lei Fu, Yunfeng Zhang, Keyun Zhao, Lulu Zhang, Ying Li, Changjing Shang, Qiang Shen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/17/13/2249 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Level Intertemporal Attention-Guided Network for Change Detection in Remote Sensing Images
by: Shuo Liu, et al.
Published: (2025-06-01) -
Bitemporal Remote Sensing Change Detection With State-Space Models
by: Lukun Wang, et al.
Published: (2025-01-01) -
TPI-Net: Time-Phase Interaction Network Based on Learnable Wavelet Attention for Remote Sensing Change Detection
by: Yekai Cui, et al.
Published: (2025-01-01) -
Difference Perception Fusion Network for Remote Sensing Image Change Detection
by: Lijing Wang, et al.
Published: (2025-01-01) -
A Lightweight Remote-Sensing Image-Change Detection Algorithm Based on Asymmetric Convolution and Attention Coupling
by: Enze Zhang, et al.
Published: (2025-06-01)