LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation.
Junjue WangZhuo ZhengAilong MaXiaoyan LuYanfei ZhongPublished in: NeurIPS Datasets and Benchmarks (2021)
Keyphrases
- remote sensing
- land cover
- semantic segmentation
- remote sensing imagery
- multispectral
- remote sensing images
- change detection
- pascal voc
- satellite images
- satellite data
- remote sensing data
- image analysis
- land cover classification
- remotely sensed images
- satellite imagery
- remotely sensed data
- remotely sensed
- high resolution
- image fusion
- hyperspectral
- high spatial resolution
- image processing
- superpixels
- landsat tm
- object detection
- object categories
- climate change
- supervised classification
- geographic information systems
- bag of words
- object recognition
- object segmentation
- object classes
- multiscale