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EFFICIENT SPECTRAL ENDMEMBER DETECTION ONBOARD THE EO-1 SPACECRAFT Ben Bornstein1 , 1 David R. Thompson1 , Daniel Tran1 , Steve Chien1 , Rebecca Casta˜no1
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Document Date: 2011-08-14 09:21:34


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File Size: 1,68 MB

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City

Houston / Pasadena / /

Company

Jet Propulsion Laboratory / Cuprite NV / Sparse LDA / IEEE Intelligent Systems / Hyperion / /

Country

United States / /

Event

Reorganization / /

Facility

Colorado State University / Jet Propulsion Laboratory / California Institute of Technology / Rice University / /

IndustryTerm

communications bandwidth constraints / science processing concepts / environmental management / onboard processing / onboard software / data processing / verifiable product / constrained communications budget / data analysis applications / science products / software technologies / constrained communications / flight processor / software components / sulfur-rich arctic spring site / autonomy software / onboard algorithm / summary data product / flight software / classical endmember detection algorithms / good candidate algorithm / autonomy flight software / onboard processor / endmember search / endmember detection algorithms / /

MarketIndex

set 220 / /

OperatingSystem

Mandrake / /

Organization

HyspIRI mission / California Institute of Technology / Colorado State University / U.S. government / National Aeronautics and Space Administration / Rice University / EO-1 mission / /

Person

Rebecca Casta / K. Williams / V / S. Chien / V / J. Dohm / V / /

Position

designer / /

ProgrammingLanguage

MATLAB / C / /

ProvinceOrState

Texas / Manitoba / California / Colorado / /

PublishedMedium

IEEE Intelligent Systems / Machine Learning / Proceedings of SPIE / /

Technology

Remote Sensing / flight processor / Deep Space Network / SMACC endmember detection algorithms / Machine Learning / software technologies / classical endmember detection algorithms / EO-1 onboard processor / good candidate algorithm / /

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