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Hyperspectral Images Target Recognition Using Projection Pursuit

机译:使用投影寻踪的高光谱图像目标识别

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In allusion to the hyperspectral images at higher spatial resolution, it has been demonstrated in this chapter that endmember extraction can be achieved by using an improved target recognition method based on the minimum noise fraction and projection pursuit. The method has a positive effect in reducing noise and removing the correlation between bands. It does not require a priori spectral information. The experiments results show that it is an automatic target recognition algorithm, but the false alarm rate needs to be improved.
机译:对于更高空间分辨率的高光谱图像,本章已证明,可以通过使用基于最小噪声分数和投影追踪的改进目标识别方法来实现端元提取。该方法在减少噪声和消除频带之间的相关性方面具有积极作用。它不需要先验光谱信息。实验结果表明,该算法是一种自动的目标识别算法,但是虚警率有待提高。

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