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17 December 1996 Improving change-detection accuracy by exploiting multispectral information
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Abstract
In this paper an algorithm to detect changes in multispectral and multitemporal remote-sensing images is presented. Such an algorithm makes it possible to reduce the effects of 'registration noise' on the accuracy of change detection. In addition, it can be used to reduce the number of typologies of detected changes in order to better point out the changes under investigation.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lorenzo Bruzzone, Fabio Roli, and Sebastiano Bruno Serpico "Improving change-detection accuracy by exploiting multispectral information", Proc. SPIE 2955, Image and Signal Processing for Remote Sensing III, (17 December 1996); https://doi.org/10.1117/12.262888
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