Spectral-spatial multi-feature classification of remote sensing big data based on a random forest classifier for land cover mapping.
Xiaomei ZhangGuojin HeZhaoming ZhangYan PengTengfei LongPublished in: Clust. Comput. (2017)
Keyphrases
- remote sensing
- land cover
- big data
- remotely sensed data
- land cover classification
- landsat tm
- remote sensing data
- hyperspectral
- remotely sensed
- hyperspectral data
- hyperspectral images
- remote sensing images
- multispectral
- change detection
- remote sensing imagery
- satellite images
- hyperspectral imagery
- supervised classification
- remotely sensed images
- satellite imagery
- image analysis
- satellite data
- high resolution
- geographic information systems
- image fusion
- high spatial resolution
- image processing
- cloud computing
- data analysis
- multispectral images
- pattern recognition
- data processing
- business intelligence
- data intensive
- image classification
- data management
- spatial data
- feature extraction
- computer vision
- learning algorithm
- feature vectors
- active learning
- data warehouse
- supervised learning