MDANet: Unsupervised, Mixed-Domain Adaptation for Semantic Segmentation of Remote Sensing Images.
Hao CuiGuo ZhangJi QiHaifeng LiChao TaoXue LiShasha HouDeren LiPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- remote sensing images
- domain adaptation
- semantic segmentation
- weakly supervised
- semi supervised
- change detection
- multispectral
- remote sensing
- labeled data
- semi supervised learning
- conditional random fields
- cross domain
- superpixels
- multiple sources
- supervised learning
- unsupervised learning
- unlabeled data
- target domain
- transfer learning
- active learning
- topic models
- co training
- multi view
- multiscale
- image data
- pairwise
- text mining
- image analysis