A Kernel-based Similarity Measures for Change Detection in RS Images
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Abstract
A kernel-based change detection approach in remote sensing images is presented.This algorithm detects change by comparing the probability density(PD) of the feature vector of bi-temporal images.The PD comparison is expressed as kernel functions;and change is detected using a kernel-based similarity measuring.PD is compared by defined kernel functions without PD estimation.
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