WSCDNet: A Window Structural Similarity Guided Deep Feature Recalibration Method for Remote Sensing Image Change Detection
With the advancement of deep learning, numerous promising and effective neural network models have emerged in the field of remote sensing image change detection, finding widespread applications in urban planning and environmental monitoring. In this study, we propose a detection framework predicated...
Saved in:
| Main Authors: | Siming Fu, Sijun Dong, Xiaoliang Meng |
|---|---|
| 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/11021577/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancement of the structural similarity index SSIM
by: V. V. Starovoitov
Published: (2018-09-01) -
CGA-Net: A CNN-GAT Aggregation Network Based on Metric for Change Detection in Remote Sensing
by: Huilan Lin, et al.
Published: (2025-01-01) -
Multi-Type Change Detection and Distinction of Cultivated Land Parcels in High-Resolution Remote Sensing Images Based on Segment Anything Model
by: Zhongxin Huang, et al.
Published: (2025-02-01) -
Analysis of super-long and sparse feature in pseudo-random sequence based on similarity
by: Chun-jie CAO, et al.
Published: (2016-10-01) -
CFNet: Optimizing Remote Sensing Change Detection Through Content-Aware Enhancement
by: Fan Wu, et al.
Published: (2025-01-01)