DMAM-UNET:An Improved Unet Semantic Segmentation for Water Body Extraction from Remotely Sensed Image.
Zirong LiuXinlong LiuMenghui YuXiaohong YangPublished in: IGARSS (2023)
Keyphrases
- semantic segmentation
- remotely sensed images
- conditional random fields
- weakly supervised
- superpixels
- change detection
- label transfer
- information extraction
- object categories
- pascal voc
- remote sensing images
- scene classification
- object classes
- image classification
- object class
- bag of words
- visual words
- object detection
- automatic extraction
- higher order
- image understanding
- remote sensing
- multiscale
- topic models
- image set
- image data
- learning algorithm
- data sets
- long range
- supervised learning
- multispectral
- human body
- generative model
- graphical models