A Fully Automatic, Interpretable and Adaptive Machine Learning Approach to Map Burned Area from Remote Sensing.
Daniela StroppianaGloria BordognaMatteo SaliMirco BoschettiGiovanna SonaPietro Alessandro BrivioPublished in: ISPRS Int. J. Geo Inf. (2021)
Keyphrases
- fully automatic
- remote sensing
- machine learning
- change detection
- remote sensing imagery
- semi automatic
- multispectral
- raster data
- remote sensing images
- image analysis
- satellite data
- high resolution
- remote sensing data
- satellite imagery
- high spatial resolution
- image fusion
- satellite images
- land cover
- automatic image registration
- remote sensed images
- image processing
- remotely sensed images
- pattern recognition
- hyperspectral
- medical imaging
- multi spectral images
- digital image analysis
- hyperspectral imaging
- remotely sensed
- geographical information systems
- earth observation
- computer vision
- hyperspectral remote sensing
- land cover classification
- hyperspectral images
- supervised learning
- infrared
- earth science