GLAI-Net: Global–Local Awareness Integrated Network for Semantic Change Detection in Remote Sensing Images
Semantic change detection (SCD) in remote sensing images can simultaneously obtain changed areas and the transformation of ground objects, providing finer grained information support in ground observation applications. Recently, multitask networks have become the main paradigm for SCD, but their det...
Saved in:
| Main Authors: | Qing Ding, Fengyan Wang, Mingchang Wang, Ying Zhang, Gui Cheng |
|---|---|
| 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/11017612/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multitask Siamese Network Guided by Enhanced Change Information for Semantic Change Detection in Bitemporal Remote Sensing Images
by: Xibing Zuo, et al.
Published: (2025-01-01) -
Multitask Change-Aware Network and Semisupervised Enhanced Multistep Training for Semantic Change Detection
by: Yifei Si, et al.
Published: (2025-01-01) -
Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images
by: Yuhang Zhang, et al.
Published: (2025-01-01) -
A Hierarchical Local-Sparse Model for Semantic Change Detection in Remote Sensing Imagery
by: Fachuan He, et al.
Published: (2025-01-01) -
A Multi-Task Learning Framework with Enhanced Cross-Level Semantic Consistency for Multi-Level Land Cover Classification
by: Shilin Tao, et al.
Published: (2025-07-01)