Detection and processing of hyperspectral imaging data with quantum-well devices

Thomas P. McElwain; Keith Kang; Jeffry S. Powell; Richard D. Stack; John Alfred Trezza

doi:10.1117/12.390477

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29 June 2000 Detection and processing of hyperspectral imaging data with quantum-well devices

Thomas P. McElwain, Keith Kang, Jeffry S. Powell, Richard D. Stack, John Alfred Trezza

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Proceedings Volume 4041, Visual Information Processing IX; (2000) https://doi.org/10.1117/12.390477
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The effectiveness of utilizing spatial light modulators (SLMs), developed at Sanders, for reducing some of the critical bottlenecks inherent within the Hyperspectral Imaging (HSI) chain will be presented. Specifically, the more common classification, detection, and endmember selection algorithm used in HSI, which are suitable for optical implementation, are presented here. These algorithms were reformulated for implementation on a compact Vander- Lugt correlator based on Sanders' multi-level quantum well (MQW) spatial light modulator (SLM). Sanders devices are GaAs Fabry-Perot vertical cavity multiple quantum well (MQW) SLMs consisting of MQW optical chips flip-chip bonded to Si/CMOS driver circuitry. Details of the reformation of Pixel Purity Index, an endmember selection algorithm, to the optical correlator is presented as well as a projection of its performance based on software simulations. In addition, hardware results are presented for Spectral Angle Mapper based on a Vander-Lugt implementation using Sanders 128 X 128 binary SLMs. An opto-electronic hyperspectral workstation accelerator is proposed which is based on a Vander-Lugt correlator using Sanders' MQW-SLMs and FPGA- based compute nodes and has the capability of 6.4 Million 1D correlations per second for HSI endmember selection, classification and detection.

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Thomas P. McElwain, Keith Kang, Jeffry S. Powell, Richard D. Stack, and John Alfred Trezza "Detection and processing of hyperspectral imaging data with quantum-well devices", Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); https://doi.org/10.1117/12.390477

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