Point Target Detection Using Nonnegative Matrix Factorization

Ira Dayan; Shimrit Maman; Stanley Rotman; Dan Blumberg

doi:10.1109/ICSEE.2018.8646088

Point Target Detection Using Nonnegative Matrix Factorization

Ira Dayan, Shimrit Maman, Stanley Rotman, Dan Blumberg

Ben-Gurion University of the Negev

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

Abstract

In this article, a new algorithm for point target detection based on nonnegative matrix factorization (NMF) is presented. The basic concept is outlined and the proposed algorithm is compared to previously known matched filter (MF) based algorithms. This comparison indicates improvement in detection rates with the new algorithm.

Original language	American English
Title of host publication	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
ISBN (Electronic)	9781538663783
DOIs	https://doi.org/10.1109/ICSEE.2018.8646088
State	Published - 2 Jul 2018
Event	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, Israel Duration: 12 Dec 2018 → 14 Dec 2018

Publication series

Name	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Conference

Conference	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Country/Territory	Israel
City	Eilat
Period	12/12/18 → 14/12/18

Keywords

NMF
detection
target

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ICSEE.2018.8646088

Cite this

Dayan, I., Maman, S., Rotman, S., & Blumberg, D. (2018). Point Target Detection Using Nonnegative Matrix Factorization. In 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 Article 8646088 (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018). https://doi.org/10.1109/ICSEE.2018.8646088

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title = "Point Target Detection Using Nonnegative Matrix Factorization",

abstract = "In this article, a new algorithm for point target detection based on nonnegative matrix factorization (NMF) is presented. The basic concept is outlined and the proposed algorithm is compared to previously known matched filter (MF) based algorithms. This comparison indicates improvement in detection rates with the new algorithm.",

keywords = "NMF, detection, target",

author = "Ira Dayan and Shimrit Maman and Stanley Rotman and Dan Blumberg",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 ; Conference date: 12-12-2018 Through 14-12-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/ICSEE.2018.8646088",

language = "American English",

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booktitle = "2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018",

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Dayan, I, Maman, S, Rotman, S & Blumberg, D 2018, Point Target Detection Using Nonnegative Matrix Factorization. in 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018., 8646088, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018, Eilat, Israel, 12/12/18. https://doi.org/10.1109/ICSEE.2018.8646088

Point Target Detection Using Nonnegative Matrix Factorization. / Dayan, Ira; Maman, Shimrit; Rotman, Stanley et al.
2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018. 2018. 8646088 (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018).

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

TY - GEN

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AU - Dayan, Ira

AU - Maman, Shimrit

AU - Rotman, Stanley

AU - Blumberg, Dan

PY - 2018/7/2

Y1 - 2018/7/2

N2 - In this article, a new algorithm for point target detection based on nonnegative matrix factorization (NMF) is presented. The basic concept is outlined and the proposed algorithm is compared to previously known matched filter (MF) based algorithms. This comparison indicates improvement in detection rates with the new algorithm.

AB - In this article, a new algorithm for point target detection based on nonnegative matrix factorization (NMF) is presented. The basic concept is outlined and the proposed algorithm is compared to previously known matched filter (MF) based algorithms. This comparison indicates improvement in detection rates with the new algorithm.

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KW - detection

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U2 - 10.1109/ICSEE.2018.8646088

DO - 10.1109/ICSEE.2018.8646088

M3 - Conference contribution

T3 - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

BT - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

T2 - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Y2 - 12 December 2018 through 14 December 2018

ER -

Point Target Detection Using Nonnegative Matrix Factorization

Abstract

Publication series

Conference

Keywords

All Science Journal Classification (ASJC) codes

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