A dual-difference change detection network for detecting building changes on high-resolution remote sensing images
Existing deep learning-based change detection networks encounter challenges related to the temporal dependency inherent in dual-temporal images. In this study, a weight-shared dual-difference change detection network(DDCDNet) model is proposed based on feature extraction networks. The model employs...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-01-01
|
| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2024.2322080 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|