Superpixel-based principal component analysis for high resolution remote sensing image classification.
Tengfei SuPublished in: Multim. Tools Appl. (2019)
Keyphrases
- remote sensing
- image classification
- high resolution
- principal component analysis
- remotely sensed data
- feature extraction
- change detection
- face images
- remote sensing images
- multispectral
- image fusion
- principal components
- remote sensing imagery
- dimensionality reduction
- image processing
- satellite imagery
- super resolution
- hyperspectral
- high spatial resolution
- remote sensing data
- satellite images
- image features
- multi spectral images
- hyperspectral imaging
- satellite data
- superpixels
- high frequency
- image analysis
- remotely sensed
- high quality
- feature space
- remote sensed images
- spatial resolution
- digital image analysis
- land cover
- face recognition
- medical imaging
- remotely sensed images
- automatic image registration
- computer vision
- random projections
- hyperspectral imagery
- multiscale
- color images
- sparse representation
- infrared
- geographical information systems
- video sequences
- image reconstruction
- spatial data