LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation.
Junjue WangZhuo ZhengAilong MaXiaoyan LuYanfei ZhongPublished in: CoRR (2021)
Keyphrases
- remote sensing
- land cover
- semantic segmentation
- change detection
- remote sensing images
- multispectral
- remote sensing imagery
- pascal voc
- remotely sensed images
- remote sensing data
- satellite imagery
- satellite images
- satellite data
- image analysis
- land cover classification
- high resolution
- remotely sensed
- remotely sensed data
- superpixels
- image fusion
- image processing
- hyperspectral
- object detection
- object categories
- high spatial resolution
- supervised classification
- object segmentation
- climate change
- geographic information systems
- bag of words
- object recognition
- earth science
- hyperspectral images
- feature space
- database systems
- data sets
- image data
- feature extraction
- learning algorithm