Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms.
Naveed IqbalRafia MumtazUferah ShafiSyed Mohammad Hassan ZaidiPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- remote sensing
- gray level co occurrence matrix
- texture features
- remote sensing images
- change detection
- multi spectral images
- hyperspectral images
- multispectral
- image analysis
- hyperspectral data
- remote sensing imagery
- texture images
- feature vectors
- hyperspectral
- texture classification
- local binary pattern
- land cover classification
- low altitude
- satellite images
- satellite data
- feature extraction
- texture descriptors
- remote sensing data
- automatic image registration
- image fusion
- high resolution
- textural features
- image processing
- gray level
- texture analysis
- distance measure
- image features
- texture information
- remote sensed images
- remotely sensed data
- land cover
- color features
- classification accuracy
- pattern recognition
- hyperspectral imagery
- supervised classification
- feature set
- rotation invariant
- image classification
- feature selection
- pixel classification
- multiresolution
- feature space
- multiscale
- machine learning