A HMM-based approach for historic and up-to-date land cover mapping through Landsat time-series in the state of Sao Paulo, Brazil.
Lorenzo IanniniRamses A. MolijnA. MousivandRamon F. HanssenRubens A. C. LamparelliPublished in: IGARSS (2016)
Keyphrases
- land cover
- multispectral
- remote sensing data
- satellite images
- remote sensing images
- satellite imagery
- remote sensing
- supervised classification
- remotely sensed images
- change detection
- remotely sensed
- hidden markov models
- land cover classification
- remotely sensed data
- image data
- pattern recognition
- multispectral images
- hyperspectral
- spatial resolution
- geographic information systems
- neural network
- spatial data
- computer simulation
- image analysis
- reinforcement learning
- machine learning