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遥感学报 2010
Adaptive change method of remote sensing image fusion
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Abstract:
This paper proposes a change detection algorithm for remote sensing images based on image fusion and adaptive threshold selection. An improved image fusion technology has been employed in processing difference image and ratio image of original data in order to construct the fusion images. Based on these images, a coarse range of change threshold has been got from an adaptive iterative operation. Then, after analyzing the discrete levels of the image pixels distributed on both sides of the threshold range, the final threshold range has been achieved. Thus much more optimal change threshold helps to extract the final change region. the experimental results in the paper suggest that the detection accuracy of this method, which has certain stability and intelligence outperform the traditional change detection methods.