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Parameter trade-offs for imaging spectroscopy systemsWith the advent of the EOS era and of configurable sensors, users of these instruments are faced with the twin problems of specifying data acquisition parameters and extracting desired information from the voluminous data. An application of a system model is made to explore system parameter trade-offs for a model sensor based on the High Resolution Imaging Spectrometer. Radiometric performance was studied, along with the effect on classification accuracy of several system parameters. Using a model scene based on typical agricultural reflectance and atmospheric conditions, the atmosphere and sensor are seen to have significant effects on the mean received signal and noise performance. The effect of random uncorrelated errors in the radiometric calibration of the detector array is seen to degrade system performance, especially in the spectral bands below 1 micron. Accurate pixel-to-pixel relative radiometric calibration and the use of the Image Motion Compensation option are seen to improve classification accuracy, especially at high solar zenith angles. Feature sets chosen from characteristics of the scene performed best overall, but ones chosen based on signal-to-noise ratios were seen to be more robust.
Document ID
19930047633
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Kerekes, John P.
(MIT Lexington, MA, United States)
Landgrebe, David A.
(Purdue Univ. West Lafayette, IN, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1991
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Volume: 29
Issue: 1
ISSN: 0196-2892
Subject Category
Spacecraft Instrumentation
Accession Number
93A31630
Funding Number(s)
CONTRACT_GRANT: NAGW-925
CONTRACT_GRANT: NSF ECS-85-07405
Distribution Limits
Public
Copyright
Other

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