SVM Classification of Urban High-Resolution Imagery Using Composite Kernels and Contour Information
نویسندگان
چکیده
منابع مشابه
SVM Classification of Urban High-Resolution Imagery Using Composite Kernels and Contour Information
The classification of remote sensing images has done great forward taking into account the image’s availability with different resolutions, as well as an abundance of very efficient classification algorithms. A number of works have shown promising results by the fusion of spatial and spectral information using Support Vector Machines (SVM) which are a group of supervised classification algorith...
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The classification of remotely sensed images knows a large progress taking in consideration the availability of images with different resolutions as well as the abundance of classification’s algorithms. A number of works have shown promising results by the fusion of spatial and spectral information using Support vector machines (SVM) which are a group of supervised classification algorithms tha...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2013
ISSN: 2158-107X,2156-5570
DOI: 10.14569/ijacsa.2013.040718