NDLI: Hyperspectral performance prediction of the adaptive cosine estimator

Content Provider	IEEE Xplore Digital Library
Author	Truslow, E. Manolakis, D. Pieper, M. Cooley, T. Brueggeman, M.
Copyright Year	2013
Description	Author affiliation: Space Vehicles Directorate, Air Force Res. Lab., Kirtland AFB, NM, USA (Cooley, T.; Brueggeman, M.) \|\| MIT-Lincoln Lab., Lexington, MA, USA (Manolakis, D.; Pieper, M.) \|\| Northeastern Univ., Boston, MA, USA (Truslow, E.)
Abstract	The adaptive cosine estimator is a popular and effective algorithm for detecting materials in hyperspectral images. To predict the performance of this algorithm in real hyperspectral scenes, a statistical model using a mixture of multivariate t-distributions for the background and a Gaussian distribution for the target is utilized. In this paper, two methods for finding the response of the adaptive cosine estimator (ACE) and Beta-detector when applied to a statistical model. To verify that the proposed techniques work as expected, t-distribution and F-distribution quantiles are computed and compared to standard values. Finally, a preliminary validation with Monte Carlo simulation based on real hyperspectral data is presented. We build on previous work for the matched filter and extends it to use two more detectors.
Starting Page	6264
Ending Page	6268
File Size	600955
Page Count	5
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6638870
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Hyperspectral imaging Vectors Probability Predictive models Monte Carlo methods Object detection matched filters detection algorithms signal detection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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