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Archetypal scenarios for change detection generally consider two images acquired through sensors of the same modality. However, in some specific cases such as emergency situations, the only images available may be those acquired through different kinds of sensors. More precisely, this paper addresses the problem of detecting changes between two multiband optical images characterized by different spatial...
This paper proposes a robust fusion-based strategy to detect changes between two multi-band optical images with different spatial and spectral resolutions, e.g., a multispectral high spatial resolution image and a hyperspectral low spatial resolution image. The dissimilarity between sensor resolutions makes the change detection problem challenging, which has been generally bypassed in the literature:...
In order to overcome the deficiency of the traditional method for determining of threshold value of the health state, this paper proposed a health state grade dividing algorithm based on artificial immune system (AIS) and cloud model. It cluster the state degradation data of equipment and the best clustering date of health state grade is found out without priori knowledge, and then it uses the cloud...
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