Wetland remote sensing classification using support vector machine optimized with co-evolutionary algorithm.
Xiaodong YuHongbin DongPublished in: ICIS (2017)
Keyphrases
- remote sensing
- support vector machine
- evolutionary algorithm
- remotely sensed
- multi spectral images
- multispectral
- change detection
- hyperspectral images
- satellite images
- hyperspectral
- hyperspectral data
- image analysis
- remote sensing imagery
- pattern recognition
- remote sensing images
- image fusion
- machine learning
- remote sensing data
- svm classifier
- feature vectors
- land cover classification
- automatic image registration
- satellite data
- image processing
- high resolution
- support vector
- remotely sensed data
- feature space
- landsat tm
- satellite imagery
- earth observation
- remotely sensed imagery
- high spatial resolution
- remote sensed images
- feature selection
- remotely sensed images
- land cover
- feature extraction
- hyperspectral imagery
- training set
- kernel function
- image classification
- high resolution satellite images
- training data
- hyperspectral remote sensing
- multispectral images
- supervised classification
- digital image analysis
- supervised learning
- genetic algorithm