An improved filter for point target detection in multi-dimensional imagery

O. Raviv; S. R. Rotman

doi:10.1117/12.505935

An improved filter for point target detection in multi-dimensional imagery

O. Raviv, S. R. Rotman

Department of Electrical & Computer Engineering

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

12 Scopus citations

Abstract

We consider a method to improve the standard RX algorithm for point target detection. In this algorithm, we weight the results from an anti-mean or anti-median filter by dividing by the standard deviation of the local environment of each suspect pixel. In this way, we lower the false alarms caused by edge points. The results of each band are then combined. Results will be shown for visible and SWIR hyperspectral imagery.

Original language	English
Pages (from-to)	32-40
Number of pages	9
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5159
DOIs	https://doi.org/10.1117/12.505935
State	Published - 3 May 2004
Event	Imaging Spectrometry IX - San Diego, CA, United States Duration: 6 Aug 2003 → 7 Aug 2003

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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10.1117/12.505935

Cite this

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AB - We consider a method to improve the standard RX algorithm for point target detection. In this algorithm, we weight the results from an anti-mean or anti-median filter by dividing by the standard deviation of the local environment of each suspect pixel. In this way, we lower the false alarms caused by edge points. The results of each band are then combined. Results will be shown for visible and SWIR hyperspectral imagery.

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Y2 - 6 August 2003 through 7 August 2003

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An improved filter for point target detection in multi-dimensional imagery

Abstract

Keywords

ASJC Scopus subject areas

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