Hierarchical-Biased Random Walk for Urban Remote Sensing Image Segmentation.
Xudong ZhaoRan TaoXuejing KangWei LiPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2019)
Keyphrases
- random walk
- remote sensing
- image segmentation
- image analysis
- image processing
- medical imaging
- multispectral
- change detection
- climate change
- remote sensing images
- spatial analysis
- remote sensing imagery
- high resolution
- satellite images
- remote sensing data
- automatic image registration
- satellite imagery
- satellite data
- remote sensed images
- urban areas
- high spatial resolution
- markov chain
- hyperspectral
- image fusion
- hyperspectral remote sensing
- high quality
- neural network
- land cover
- computer vision
- spectral graph partitioning
- markov random walk
- remotely sensed data
- multispectral images
- markov random field
- transition probability matrix
- multi spectral images
- digital image analysis
- metadata
- earth observation
- transition probabilities
- multiscale
- reinforcement learning
- hyperspectral images
- infrared
- pattern recognition
- graph cuts
- machine learning