A novel VLSI architecture for pixel purity index algorithm

Fang Yi; Jie Guo; Yunsong Li; Bormin Huang

doi:10.1117/12.2022122

24 September 2013 A novel VLSI architecture for pixel purity index algorithm

Fang Yi, Jie Guo, Yunsong Li, Bormin Huang

Proceedings Volume 8871, Satellite Data Compression, Communications, and Processing IX; 88710K (2013) https://doi.org/10.1117/12.2022122
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

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.

Citation Download Citation

Fang Yi, Jie Guo, Yunsong Li, and Bormin Huang "A novel VLSI architecture for pixel purity index algorithm", Proc. SPIE 8871, Satellite Data Compression, Communications, and Processing IX, 88710K (24 September 2013); https://doi.org/10.1117/12.2022122

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