Context-aided false alarm reduction for SAR automatic target recognition

Sandrine Mathieu-Marni; Shyam Kuttikkad; Rama Chellappa

Context-aided false alarm reduction for SAR automatic target recognition

Sandrine Mathieu-Marni
, Shyam Kuttikkad
, Rama Chellappa

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper introduces techniques for context-aided false alarm reduction for Automatic Target Recognition (ATR) in airborne Synthetic Aperture Radar (SAR) images. Candidate target pixels are identified using Constant False Alarm Rate (CFAR) detection. If only a single radar image is available, a 2-D site model is constructed and used to determine regions inhospitable to targets. In multipass imagery, false alarm reduction is based on consistent appearance of the target blob in two or more images after registration. Finally, a target-versus-clutter discrimination based on size, shape and intensity features further reduces false alarms in preparation for target recognition algorithms.

Original language	English (US)
Pages	885-888
Number of pages	4
State	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA Duration: Oct 26 1997 → Oct 29 1997

Other

Other	Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
City	Santa Barbara, CA, USA
Period	10/26/97 → 10/29/97

ASJC Scopus subject areas

Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Cite this

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title = "Context-aided false alarm reduction for SAR automatic target recognition",

abstract = "This paper introduces techniques for context-aided false alarm reduction for Automatic Target Recognition (ATR) in airborne Synthetic Aperture Radar (SAR) images. Candidate target pixels are identified using Constant False Alarm Rate (CFAR) detection. If only a single radar image is available, a 2-D site model is constructed and used to determine regions inhospitable to targets. In multipass imagery, false alarm reduction is based on consistent appearance of the target blob in two or more images after registration. Finally, a target-versus-clutter discrimination based on size, shape and intensity features further reduces false alarms in preparation for target recognition algorithms.",

author = "Sandrine Mathieu-Marni and Shyam Kuttikkad and Rama Chellappa",

year = "1997",

language = "English (US)",

pages = "885--888",

note = "Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) ; Conference date: 26-10-1997 Through 29-10-1997",

}

TY - CONF

T1 - Context-aided false alarm reduction for SAR automatic target recognition

AU - Mathieu-Marni, Sandrine

AU - Kuttikkad, Shyam

AU - Chellappa, Rama

PY - 1997

Y1 - 1997

N2 - This paper introduces techniques for context-aided false alarm reduction for Automatic Target Recognition (ATR) in airborne Synthetic Aperture Radar (SAR) images. Candidate target pixels are identified using Constant False Alarm Rate (CFAR) detection. If only a single radar image is available, a 2-D site model is constructed and used to determine regions inhospitable to targets. In multipass imagery, false alarm reduction is based on consistent appearance of the target blob in two or more images after registration. Finally, a target-versus-clutter discrimination based on size, shape and intensity features further reduces false alarms in preparation for target recognition algorithms.

AB - This paper introduces techniques for context-aided false alarm reduction for Automatic Target Recognition (ATR) in airborne Synthetic Aperture Radar (SAR) images. Candidate target pixels are identified using Constant False Alarm Rate (CFAR) detection. If only a single radar image is available, a 2-D site model is constructed and used to determine regions inhospitable to targets. In multipass imagery, false alarm reduction is based on consistent appearance of the target blob in two or more images after registration. Finally, a target-versus-clutter discrimination based on size, shape and intensity features further reduces false alarms in preparation for target recognition algorithms.

UR - https://www.scopus.com/pages/publications/0031385957

UR - https://www.scopus.com/pages/publications/0031385957#tab=citedBy

M3 - Paper

AN - SCOPUS:0031385957

SP - 885

EP - 888

T2 - Proceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)

Y2 - 26 October 1997 through 29 October 1997

ER -

Context-aided false alarm reduction for SAR automatic target recognition

Abstract

Other

ASJC Scopus subject areas

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