Projection-based methods for hyperspectral image fraction estimation

J. Triscari, A. E. Iverson, P. J. Sementilli, K. West
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引用次数: 2

Abstract

In this paper, we investigate the issues that arise with the use of large spectral libraries in practical applications of fraction estimation in hyperspectral imaging. We then present a new technique for fraction estimation based on the method of successive projections onto convex sets. Results are presented that demonstrate the ability of this technique to recover information that cannot be recovered using traditional techniques based on linear regression alone.
基于投影的高光谱图像分数估计方法
在本文中,我们研究了在高光谱成像中使用大光谱库进行分数估计的实际应用中出现的问题。然后,我们提出了一种基于凸集连续投影法的分数估计新方法。结果表明,该技术能够恢复仅基于线性回归的传统技术无法恢复的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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