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IMPROVING CLASSIFICATION ACCURACY VIA CONTEXTUAL FEATURE RANKING IN HIGH SPATIAL RESOLUTION SATELLITE IMAGERY
High Spatial Resolution Classification Texture Quantization Feature Ranking SVM
2015/12/31
Texture quantization is a useful method for extraction spatial relevance between pixels which is used in humane brain for image interpreting. Beside the spectral bands textural features of high spatia...
Study of mixed kernel effect on classification accuracy using density estimation
Sub-Pixel Support Vector Machine (SVM) Mixed Kernel Function
2015/8/20
Support Vector Machines (SVMs) are a statistical learning theory based techniques and have been applied to different fields. For the
pattern recognition case, SVMs have been used for isolated handwri...
Generating Image-based Features for Improving Classification Accuracy of High Resolution Images
Classification Feature Generation Texture
2015/8/20
High resolution images are rich sources of spatial information and details as well as noises. Because of the spectral similarities
between different objects, pixel-based classifications of these imag...