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Change detection for multitemporal hyperspectral images (HSIs) involves two major steps: change feature extraction and classification. For the first part, conventional methods mostly consider spectral features but neglect spatial patterns. Since multitemporal HSIs consist of four dimensions (one for time, one for spectral domain and two for spatial domain), we propose using 4-dimensional Higher Order...
In this paper, a hypercomplex principle component weighted approach to multiplespectral and panchromatic images fusions is presented. Since it takes the vectorial property of RGB components into account, there is not the distortion of visible spectrums in the images fused by the proposed method. The evaluation results from the various methods representing the state of the art ones also show that the...
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