Fusion of Airborne LiDAR With Multispectral SPOT 5 Image for Enhancement of Feature Extraction Using Dempster-Shafer Theory.
Vahideh SaeidiBiswajeet PradhanMohammed Oludare IdreesZulkiflee Abd. LatifPublished in: IEEE Trans. Geosci. Remote. Sens. (2014)
Keyphrases
- multispectral
- image data
- multispectral images
- dempster shafer theory
- satellite images
- multi spectral images
- hyperspectral
- image analysis
- multi band
- remote sensing
- spectral characteristics
- feature extraction
- image classification
- hyperspectral data
- hyperspectral images
- high resolution
- remote sensing data
- remote sensing images
- high spatial resolution
- multispectral satellite images
- fusion method
- spatial resolution
- remotely sensed images
- input image
- remotely sensed
- fusion algorithm
- single image
- image fusion
- digital elevation models
- image processing
- fusion methods
- land cover
- image retrieval
- multiscale
- information fusion
- hyperspectral imagery
- lidar data
- edge detection
- lighting conditions
- spectral bands
- urban areas
- combination rule
- dempster shafer
- target detection
- point cloud
- data fusion
- pattern recognition
- image segmentation