首页> 外文期刊>International Journal of High Speed Electronics and Systems: Devices, Integrated Circuits and Systems, Optical and Quantum Electronics >A PYRAMID-BASED BLOCK OF SKEWERS FOR PIXEL PURITY INDEX FOR ENDMEMBER EXTRACTION IN HYPERSPECTRAL IMAGERY
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A PYRAMID-BASED BLOCK OF SKEWERS FOR PIXEL PURITY INDEX FOR ENDMEMBER EXTRACTION IN HYPERSPECTRAL IMAGERY

机译:高光谱成像中用于像素提取的像素纯度指数的基于金字塔的块

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摘要

Pixel Purity Index (PPI) has been widely used for endmember extraction. Recently, an approach using blocks of skewers was proposed by Theiler et al., called blocks of skewers (BOS) method, to improve computation of the PPI. It utilizes a block of skewers to reduce number of calculations of dot products operated by the PPI on each skewers with all data sample vectors. Unfortunately, the BOS method also suffers from the same drawbacks that the PPI does in terms of several parameters which are needed to be determined a priori. Besides, it also has an additional parameter, block size, B needed to be determined where no guideline is provided of how to select this parameter. In this paper, the BOS method is also investigated. Most importantly, a new pyramid-based block design for the BOS method is also introduced as opposed to the cube-based block designed used by Theiler et al.'s BOS. One major advantage of our proposed pyramid-based BOS over Theiler et al.'s cube-design BOS is the hardware design for Field Programmable Gate Arrays (FPGAs) implementation.
机译:像素纯度指数(PPI)已广泛用于端成员提取。最近,Theiler等人提出了一种使用串块的方法,称为串块(BOS)方法,以改善PPI的计算。它利用一串串减少所有数据样本向量在每个串上由PPI运算的点积的计算数量。不幸的是,就需要先验确定的几个参数而言,BOS方法也具有与PPI相同的缺点。此外,在没有提供如何选择该参数的指南的地方,还需要确定一个附加参数,块大小B。本文还研究了BOS方法。最重要的是,与Theiler等人的BOS使用的基于多维数据集的块设计相反,还针对BOS方法引入了基于金字塔的新块设计。我们提出的基于金字塔的BOS优于Theiler等人的多维数据集设计BOS的一个主要优势是现场可编程门阵列(FPGA)实现的硬件设计。

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