Analyzing point target detection algorithms

S. Adar; S. Buganim; S. R. Rotman

doi:10.1117/12.627788

Analyzing point target detection algorithms

S. Adar, S. Buganim, S. R. Rotman

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

We present a method to evaluate point target detection algorithms. For any particular algorithm, a datacube without a target is evaluated with each pixel being assigned a score; the highest scores belong to those points which are potential false alarms. We then systematically implant a selected target signature into every pixel in the image and evaluate the resulting scores; the lowest scores are those pixels in which the target may be missed. ROC curve analysis can then be made. In this paper, we evaluate a new algorithm which we have developed; we use the evaluation of this algorithm as a paradigm for the efficacy of our algorithm evaluation tool.

Original language	English
Article number	59870T
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5987
DOIs	https://doi.org/10.1117/12.627788
State	Published - 1 Dec 2005
Event	Electro-Optical and Infrared Systems: Technology and Applications II - Bruges, Belgium Duration: 26 Sep 2005 → 27 Sep 2005

Keywords

Hyperspectral imagery
Point target detection

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.627788

Cite this

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abstract = "We present a method to evaluate point target detection algorithms. For any particular algorithm, a datacube without a target is evaluated with each pixel being assigned a score; the highest scores belong to those points which are potential false alarms. We then systematically implant a selected target signature into every pixel in the image and evaluate the resulting scores; the lowest scores are those pixels in which the target may be missed. ROC curve analysis can then be made. In this paper, we evaluate a new algorithm which we have developed; we use the evaluation of this algorithm as a paradigm for the efficacy of our algorithm evaluation tool.",

keywords = "Hyperspectral imagery, Point target detection",

author = "S. Adar and S. Buganim and Rotman, {S. R.}",

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T1 - Analyzing point target detection algorithms

AU - Adar, S.

AU - Buganim, S.

AU - Rotman, S. R.

PY - 2005/12/1

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N2 - We present a method to evaluate point target detection algorithms. For any particular algorithm, a datacube without a target is evaluated with each pixel being assigned a score; the highest scores belong to those points which are potential false alarms. We then systematically implant a selected target signature into every pixel in the image and evaluate the resulting scores; the lowest scores are those pixels in which the target may be missed. ROC curve analysis can then be made. In this paper, we evaluate a new algorithm which we have developed; we use the evaluation of this algorithm as a paradigm for the efficacy of our algorithm evaluation tool.

AB - We present a method to evaluate point target detection algorithms. For any particular algorithm, a datacube without a target is evaluated with each pixel being assigned a score; the highest scores belong to those points which are potential false alarms. We then systematically implant a selected target signature into every pixel in the image and evaluate the resulting scores; the lowest scores are those pixels in which the target may be missed. ROC curve analysis can then be made. In this paper, we evaluate a new algorithm which we have developed; we use the evaluation of this algorithm as a paradigm for the efficacy of our algorithm evaluation tool.

KW - Hyperspectral imagery

KW - Point target detection

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DO - 10.1117/12.627788

M3 - Conference article

AN - SCOPUS:33644558013

SN - 0277-786X

VL - 5987

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 59870T

T2 - Electro-Optical and Infrared Systems: Technology and Applications II

Y2 - 26 September 2005 through 27 September 2005

ER -

Analyzing point target detection algorithms

Abstract

Keywords

ASJC Scopus subject areas

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