改进N-Finder端元提取技术

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI:10.1109/ISSPIT.2011.6151533

Mahmoud Maghrbay, R. Ammar, S. Rajasekaran

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引用次数: 2

摘要

N-FINDER算法被广泛用于端元提取。N-FINDER的缺点之一是，由于N-FINDER相对较大的计算复杂度，它的实现需要很长的运行时间。成功地减少算法工作的输入数据集(高光谱图像)的大小可以减少算法的总体运行时间。本文提供了一种成功地从数据集中选择合适样本的方法。利用这种约简技术，提出了一个更快、统计上更准确的N-FINDER版本。

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Improving N-Finder technique for extracting endmembers

N-FINDER algorithm is widely used for endmember extraction. One of the disadvantages of N-FINDER is that its implementations take long run time due to the relatively large computational complexity of N-FINDER. Successfully reducing the size of the input data set -the hyperspectral image - that the algorithm works on can reduce the overall run time of the algorithm. A method for successfully selecting the proper sample of the data set to work on is provided in this paper. Using this reduction technique, a faster and statistically more accurate version of N-FINDER is presented.

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2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

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