Unmixing and target recognition in hyper - spectral
نویسندگان
چکیده
4 We present two new linear algorithms that perform unmixing in hyper-spectral 5 images and then recognize their targets whose spectral signatures are given. The 6 first algorithm is based on the ordered topology of spectral signatures. The second 7 algorithm is based on a linear decomposition in each pixel’s neighborhood. The sought 8 after target can occupy subor above pixel. These algorithms combine ideas from 9 algebra and probability theories as well as statistical data mining. Experimental results 10 demonstrate their robustness. 11
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