BRUZZONE , Lorenzo

Recently, a new class of structured neural networks (SNNs), explicitly devoted to multisensor remote-sensing image classification and aimed at allowing the interpretation of the network behaviour, was proposed. Experiments reported pointed out that SNNs provide a trade off between classification accuracy and interpretation of the network...

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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