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The spectrum of each pixel in a hyperspectral image usually comprises multiple material spectra, due to the sensor's spatial resolution and ground material distribution. The purpose of target detection (TD) is to separate specific target pixels from the various background pixels, using a known target signature. In this paper, a novel two-stage target detection process is proposed for improving TD...
Although many endmember extraction algorithms (EEAs) have been proposed, the accurate identification of endmembers is still a challenging task in spectral unmixing of hyperspectral imagery. One of the EEAs, automatic target generation process (ATGP), works by iterative orthogonal projections of the data then finding the largest magnitude vector of this projection, and it will stop until reaches a...
Estimating the number of endmembers and their corresponding spectral signatures in the hyperspectral imagery is crucial for successful application of the spectral un-mixing process. This paper proposes a novel two-stage process for estimating the number of endmembers. In the first stage of this process, a subset of convex pixels is located using principal components analysis (PCA) and a sequence of...
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