An UNet3+ Network based on global pyramid aggregation for change detection in optical remote-sensing imagesGosNIIASLEarning, VIsion and Remote sensing laboratory
Change detection (CD) is a meaningful and challenging task for remote sensing (RS) image analysis. Deep learning (DL) based methods have shown great potential in change detection tasks, there are still two problems with existing deep learning methods such as CNN and Transformer: (1) They do not targ...
Saved in:
| Main Authors: | Yanbo Sun, Wenxing Bao, Wei Feng, Kewen Qu, Xuan Ma, Xiaowu Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Applied Computing and Geosciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590197424000570 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CMPF-UNet: a ConvNeXt multi-scale pyramid fusion U-shaped network for multi-category segmentation of remote sensing images
by: Ning Li, et al.
Published: (2024-01-01) -
Res50-SimAM-ASPP-Unet: A Semantic Segmentation Model for High-Resolution Remote Sensing Images
by: Jiajing Cai, et al.
Published: (2024-01-01) -
Laplacian Pyramid Network With Hybrid Encoder and Edge Guidance for Remote Sensing Change Detection
by: Wenkai Yan, et al.
Published: (2025-01-01) -
Innovative Lightweight Detection for Airborne Remote Sensing: Integrating G-Shuffle and Dynamic Multiscale Pyramid Networks
by: Ruofei Liang, et al.
Published: (2025-01-01) -
A Fusion Method Incorporating Dual-Attention Mechanism and Transfer Learning Into UNet++ for Remote Sensing Image Coastline Extraction
by: Yanru Song, et al.
Published: (2025-01-01)