A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imagery.
Victor AlhassanChristopher J. HenrySheela RamannaChristopher David StoriePublished in: Neural Comput. Appl. (2020)
Keyphrases
- land cover
- multispectral
- satellite imagery
- remote sensing
- satellite images
- remotely sensed data
- remotely sensed
- remote sensing images
- deep learning
- land cover classification
- image analysis
- remote sensing data
- remotely sensed images
- change detection
- remote sensing imagery
- image data
- satellite data
- multispectral images
- spatial resolution
- geographic information systems
- hyperspectral
- supervised classification
- high spatial resolution
- high resolution
- urban growth
- pattern recognition
- image processing
- data warehouse
- hyperspectral images
- model selection
- infrared