CroFuseNet: A Semantic Segmentation Network for Urban Impervious Surface Extraction Based on Cross Fusion of Optical and SAR Images
The fusion of optical and synthetic aperture radar (SAR) images is a promising method to extract urban impervious surface (IS) accurately. Previous studies have shown that the feature-level fusion of optical and SAR images can significantly improve IS extraction. However, they generally use simple l...
| Principais autores: | , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
IEEE
2023-01-01
|
| coleção: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10056145/ |