Fusion filter for hyperspectral target detection

Elad Cohen; Ran Peiser; Stanley R. Rotman

doi:10.1109/EEEI.2012.6376943

Fusion filter for hyperspectral target detection

Elad Cohen, Ran Peiser, Stanley R. Rotman

Department of Electrical & Computer Engineering

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

1 Scopus citations

Abstract

This paper presents work done using Schaum's fusion method, implemented in the CFAR (constant false alarm ratio) approach on a set of data in order to evaluate the success rate of this method with regard to common popular methods such as the GLRT, RX and a competing Projection Method created by the authors. The testing scheme involved the introduction of a free parameter in the form of a shading factor which affects similarly both the background and the target. Finally, the simulation results will be presented and discussed together with an analysis of the error regions from the fusion method implementation to outline the expected operation performance envelope for the fusion algorithm.

Original language	English
Title of host publication	2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
DOIs	https://doi.org/10.1109/EEEI.2012.6376943
State	Published - 1 Dec 2012
Event	2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012 - Eilat, Israel Duration: 14 Nov 2012 → 17 Nov 2012

Publication series

Name	2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

Conference

Conference	2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
Country/Territory	Israel
City	Eilat
Period	14/11/12 → 17/11/12

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/EEEI.2012.6376943

Cite this

@inproceedings{4c785eeb1ed14142a6d9302620967766,

title = "Fusion filter for hyperspectral target detection",

abstract = "This paper presents work done using Schaum's fusion method, implemented in the CFAR (constant false alarm ratio) approach on a set of data in order to evaluate the success rate of this method with regard to common popular methods such as the GLRT, RX and a competing Projection Method created by the authors. The testing scheme involved the introduction of a free parameter in the form of a shading factor which affects similarly both the background and the target. Finally, the simulation results will be presented and discussed together with an analysis of the error regions from the fusion method implementation to outline the expected operation performance envelope for the fusion algorithm.",

author = "Elad Cohen and Ran Peiser and Rotman, {Stanley R.}",

year = "2012",

month = dec,

day = "1",

doi = "10.1109/EEEI.2012.6376943",

language = "English",

isbn = "9781467346801",

series = "2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012",

booktitle = "2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012",

note = "2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012 ; Conference date: 14-11-2012 Through 17-11-2012",

}

Cohen, E, Peiser, R & Rotman, SR 2012, Fusion filter for hyperspectral target detection. in 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012., 6376943, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012, Eilat, Israel, 14/11/12. https://doi.org/10.1109/EEEI.2012.6376943

Fusion filter for hyperspectral target detection. / Cohen, Elad; Peiser, Ran; Rotman, Stanley R.
2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012. 2012. 6376943 (2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012).

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

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N2 - This paper presents work done using Schaum's fusion method, implemented in the CFAR (constant false alarm ratio) approach on a set of data in order to evaluate the success rate of this method with regard to common popular methods such as the GLRT, RX and a competing Projection Method created by the authors. The testing scheme involved the introduction of a free parameter in the form of a shading factor which affects similarly both the background and the target. Finally, the simulation results will be presented and discussed together with an analysis of the error regions from the fusion method implementation to outline the expected operation performance envelope for the fusion algorithm.

AB - This paper presents work done using Schaum's fusion method, implemented in the CFAR (constant false alarm ratio) approach on a set of data in order to evaluate the success rate of this method with regard to common popular methods such as the GLRT, RX and a competing Projection Method created by the authors. The testing scheme involved the introduction of a free parameter in the form of a shading factor which affects similarly both the background and the target. Finally, the simulation results will be presented and discussed together with an analysis of the error regions from the fusion method implementation to outline the expected operation performance envelope for the fusion algorithm.

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Fusion filter for hyperspectral target detection

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