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...
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1996 (v1)PublicationUploaded on: February 14, 2024
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2016 (v1)Publication
In this paper, we propose a novel method for the joint classification of both multidate and multiresolution remote sensing imagery, which represents an important and relatively unexplored classification problem. The proposed classifier is based on an explicit hierarchical graph-based model that is sufficiently flexible to address a coregistered...
Uploaded on: April 14, 2023