Hierarchical Probabilistic Graphical Models and Deep Convolutional Neural Networks for Remote Sensing Image Classification.
Martina PastorinoGabriele MoserSebastiano B. SerpicoJosiane ZerubiaPublished in: EUSIPCO (2021)
Keyphrases
- remote sensing
- probabilistic graphical models
- image classification
- convolutional neural networks
- remotely sensed data
- graphical models
- change detection
- multispectral
- remote sensing images
- markov networks
- hyperspectral
- remote sensing imagery
- remote sensing data
- first order logic
- image processing
- high resolution
- satellite images
- image analysis
- satellite data
- feature extraction
- automatic image registration
- probabilistic inference
- remotely sensed
- land cover
- exact inference
- belief propagation
- conditional random fields
- approximate inference
- hyperspectral images
- parameter learning
- soft computing
- random variables
- belief functions
- maximum likelihood
- earth observation
- image features
- graph cuts
- coarse to fine
- supervised learning
- multiresolution
- data mining