Including invariances in SVM remote sensing image classification.
Emma Izquierdo-VerdiguierValero LaparraLuis Gómez-ChovaGustavo Camps-VallsPublished in: IGARSS (2012)
Keyphrases
- remote sensing
- image classification
- remotely sensed data
- support vector
- change detection
- multispectral
- remote sensing images
- remote sensing data
- remote sensing imagery
- image analysis
- support vector machine
- remotely sensed
- high resolution
- satellite images
- satellite imagery
- knn
- feature extraction
- image processing
- hyperspectral
- land cover
- digital image analysis
- feature selection
- remote sensed images
- satellite data
- automatic image registration
- image fusion
- image features
- hyperspectral imagery
- high spatial resolution
- feature space
- machine learning
- remotely sensed images
- kernel function
- earth observation
- neural network
- training data
- multi spectral images
- hyperspectral imaging
- remotely sensed imagery
- pattern recognition
- data streams
- training set
- geographical information systems
- hyperspectral remote sensing
- hyperspectral images