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Proceedings Paper

A novel VLSI architecture for pixel purity index algorithm
Author(s): Fang Yi; Jie Guo; Yunsong Li; Bormin Huang
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Paper Abstract

The Pixel Purity Index (PPI) algorithm is one of the most successful algorithms for hyperspectral image endmembers extraction. But it has high computational complexity so it is hard to meet the real-time processing demands of some onboard application. In this paper, we present a novel Very-Large-Scale Integration (VLSI) architecture for PPI algorithm to meet the on-board demands. With parallelism and improved I/O communication strategy, our implementation is significantly time saving than other architectures in the same hardware resources. We evaluate our implementation using the well-known “Cuprite” scene and assess endmembers signature purity using the U.S. Geological Survey (USGS) library. It demonstrates that our hardware implementation can get endmembers in less processing time to meet the onboard demands.

Paper Details

Date Published: 24 September 2013
PDF: 10 pages
Proc. SPIE 8871, Satellite Data Compression, Communications, and Processing IX, 88710K (24 September 2013); doi: 10.1117/12.2022122
Show Author Affiliations
Fang Yi, Xidian Univ. (China)
Jie Guo, Xidian Univ. (China)
Yunsong Li, Xidian Univ. (China)
Bormin Huang, Univ. of Wisconsin-Madison (United States)


Published in SPIE Proceedings Vol. 8871:
Satellite Data Compression, Communications, and Processing IX
Bormin Huang; Antonio J. Plaza; Chein-I Chang, Editor(s)

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