A Classification of Remote Sensing Image Based on Improved Compound Kernels of Svm.
Jianing ZhaoWanlin GaoZili LiuGuifen MouLin LuLina YuPublished in: CCTA (2009)
Keyphrases
- remote sensing
- support vector
- support vector machine svm
- svm classification
- multi spectral images
- support vector machine
- change detection
- remote sensing images
- remotely sensed
- feature space
- svm classifier
- high resolution
- multispectral
- image processing
- hyperspectral data
- land cover classification
- kernel function
- remote sensing imagery
- hyperspectral
- hyperspectral images
- hyperspectral remote sensing
- image analysis
- feature vectors
- satellite imagery
- satellite data
- hyperspectral imagery
- remote sensing data
- image fusion
- automatic image registration
- training set
- multiple kernel learning
- remotely sensed data
- digital image analysis
- feature selection
- pattern recognition
- satellite images
- kernel methods
- histogram intersection kernel
- machine learning
- supervised learning
- linear svm
- high spatial resolution
- image classification
- tree kernels
- spectral resolution
- computer vision
- pixel classification
- training data
- hyperspectral imaging
- geographical information systems
- multispectral images
- image registration
- remote sensed images