An Automated Machine Learning Framework for Adaptive and Optimized Hyperspectral-Based Land Cover and Land-Use Segmentation.
Ava ValiSara ComaiMatteo MatteucciPublished in: Remote. Sens. (2024)
Keyphrases
- land cover
- remote sensing
- hyperspectral
- land cover classification
- multispectral
- remote sensing images
- remote sensing data
- machine learning
- satellite images
- remote sensing imagery
- remotely sensed
- supervised classification
- change detection
- image analysis
- satellite data
- pixel classification
- hyperspectral images
- hyperspectral data
- satellite imagery
- remotely sensed images
- geographic information systems
- computer vision
- multi band
- image data
- multispectral images
- hyperspectral remote sensing
- decision trees
- target detection
- image segmentation
- spatial resolution
- information content
- high resolution
- urban areas
- hyperspectral imagery
- database systems
- pattern recognition
- infrared
- urban growth
- data sets
- supervised learning