Coarse-To-Fine Unsupervised Change Detection for Remote Sensing Images Via Object-Based MRF and Inception UNET.
Xuan HouYunpeng BaiHaonan ShiYing LiPublished in: ICASSP (2022)
Keyphrases
- coarse to fine
- remote sensing images
- unsupervised change detection
- change detection
- markov random field
- image registration
- multiscale
- multispectral
- remote sensing
- multiresolution
- graph cuts
- object detection
- image segmentation
- hierarchical segmentation
- remotely sensed images
- marked point processes
- satellite images
- energy function
- land cover
- dynamic programming
- multispectral images
- higher order
- energy minimization
- hierarchical representation
- active shape model
- landsat etm
- matching scheme
- mrf model
- pairwise
- multi spectral images
- random fields
- hyperspectral
- mutual information
- multi class
- image processing
- statistical learning
- data sets
- active contours
- image analysis
- machine learning