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Target detection in hyperspectral images is an important task. In this paper, we propose a sparsity based algorithm for target detection in hyperspectral images. In sparsity model, each hyperspectral pixel is represented by a linear combination of a few samples from an overcomplete dictionary, and the weighted vector for such reconstruction is sparse. This model has been applied in hyperspectral target...
Target detection for hyperspectral image is an important application in many given areas. As natural signals can always be represented sparsely using a given dictionary, some effective sparse-based algorithms are developed for target detection. However, this kind of method is extremely dependent on the spectra library, a huge dictionary data set from which useful information is extracted. This provides...
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