FCAU-Net for the Semantic Segmentation of Fine-Resolution Remotely Sensed Images.
Xuerui NiuQiaolin ZengXiaobo LuoLiangfu ChenPublished in: Remote. Sens. (2022)
Keyphrases
- remotely sensed images
- semantic segmentation
- change detection
- remote sensing images
- remote sensing
- conditional random fields
- superpixels
- object categories
- land cover
- multispectral
- scene classification
- multispectral images
- weakly supervised
- pascal voc
- high resolution
- supervised classification
- low resolution
- object detection
- image set
- object class
- object classes
- data sets
- spatial resolution
- object segmentation
- training examples
- text classification
- markov random field
- object recognition