A new look at feature selection
نویسندگان
چکیده
One of the basic components of image information mining (IIM) systems is feature extraction. Feature extraction delivers a low level “building block” decomposition of the input data. In principle, feature extraction results may depend on the characteristics of the images to be analyzed. In order to avoid a critical dependence on a specific concept, we advocate a general feature finder toolbox approach that handles typical remote sensing images with diverse geometrical and texture characteristics. Our concept considers high resolution optical as well as synthetic aperture radar (SAR) images.
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