Improved covariance matrices for point target detection in hyperspectral data

Y. Sofer; E. Geva; S. R. Rotman

doi:10.1109/COMCAS.2009.5385980

Improved covariance matrices for point target detection in hyperspectral data

Y. Sofer
, E. Geva
, S. R. Rotman

Department of Electrical & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Algorithms for point target detection in hyperspectral images use the inverse covariance matrix in order to separate a detected pixel from it surrounding noise. The inverse covariance matrix can be implemented from all the pixels or from the close surroundings of the examined pixel. We compare the different methods and conclude which method brings the best results.

Original language	English
Title of host publication	2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009
DOIs	https://doi.org/10.1109/COMCAS.2009.5385980
State	Published - 1 Dec 2009
Event	2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009 - Tel Aviv, Israel Duration: 9 Nov 2009 → 11 Nov 2009

Publication series

Name	2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009

Conference

Conference	2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009
Country/Territory	Israel
City	Tel Aviv
Period	9/11/09 → 11/11/09

ASJC Scopus subject areas

Computational Theory and Mathematics
Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/COMCAS.2009.5385980

Cite this

Sofer, Y., Geva, E., & Rotman, S. R. (2009). Improved covariance matrices for point target detection in hyperspectral data. In 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009 Article 5385980 (2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009). https://doi.org/10.1109/COMCAS.2009.5385980

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title = "Improved covariance matrices for point target detection in hyperspectral data",

abstract = "Algorithms for point target detection in hyperspectral images use the inverse covariance matrix in order to separate a detected pixel from it surrounding noise. The inverse covariance matrix can be implemented from all the pixels or from the close surroundings of the examined pixel. We compare the different methods and conclude which method brings the best results.",

author = "Y. Sofer and E. Geva and Rotman, \{S. R.\}",

year = "2009",

month = dec,

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doi = "10.1109/COMCAS.2009.5385980",

language = "English",

isbn = "9781424439850",

series = "2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009",

booktitle = "2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009",

note = "2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009 ; Conference date: 09-11-2009 Through 11-11-2009",

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Sofer, Y, Geva, E & Rotman, SR 2009, Improved covariance matrices for point target detection in hyperspectral data. in 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009., 5385980, 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009, 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009, Tel Aviv, Israel, 9/11/09. https://doi.org/10.1109/COMCAS.2009.5385980

Improved covariance matrices for point target detection in hyperspectral data. / Sofer, Y.; Geva, E.; Rotman, S. R.
2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009. 2009. 5385980 (2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Sofer, Y.

AU - Geva, E.

AU - Rotman, S. R.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Algorithms for point target detection in hyperspectral images use the inverse covariance matrix in order to separate a detected pixel from it surrounding noise. The inverse covariance matrix can be implemented from all the pixels or from the close surroundings of the examined pixel. We compare the different methods and conclude which method brings the best results.

AB - Algorithms for point target detection in hyperspectral images use the inverse covariance matrix in order to separate a detected pixel from it surrounding noise. The inverse covariance matrix can be implemented from all the pixels or from the close surroundings of the examined pixel. We compare the different methods and conclude which method brings the best results.

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DO - 10.1109/COMCAS.2009.5385980

M3 - Conference contribution

AN - SCOPUS:77949864295

SN - 9781424439850

T3 - 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009

BT - 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009

T2 - 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009

Y2 - 9 November 2009 through 11 November 2009

ER -

Sofer Y, Geva E, Rotman SR. Improved covariance matrices for point target detection in hyperspectral data. In 2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009. 2009. 5385980. (2009 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems, COMCAS 2009). doi: 10.1109/COMCAS.2009.5385980

Improved covariance matrices for point target detection in hyperspectral data

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