Moving target detection based on sub-aperture image

Zhang Weijie; Peng Yingning; Li Wenwen

doi:10.1109/IGARSS.2006.854

Moving target detection based on sub-aperture image

Zhang Weijie, Peng Yingning, Li Wenwen

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

Abstract

In conventional monostatic synthetic aperture radar system, it is difficult to detect moving target in clutter background. In this paper, a new algorithm called sub-aperture image cancellation is proposed for moving target detection. In this algorithm, based on Doppler parameters of stationary background, a matched function band is designed for sub-aperture imaging. The sub-aperture images are cancelled to eliminate the clutters from background. By azimuth-direction summation of cancelled images, the energy of moving target is accumulated and the variance of noise is reduced. Two thresholds are used to implement constant false alarm rate to detect moving target The algorithm is verified by RADARSAT-I data. Some moving targets are found in sub-aperture image.

Original language	English (US)
Title of host publication	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Pages	3325-3328
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2006.854
State	Published - 2006
Externally published	Yes
Event	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States Duration: Jul 31 2006 → Aug 4 2006

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other	2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Country/Territory	United States
City	Denver, CO
Period	7/31/06 → 8/4/06

Keywords

Matched function band
Moving target detection
SAR
Sub-aperture imaging

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS.2006.854

Cite this

Weijie, Z, Yingning, P & Wenwen, L 2006, Moving target detection based on sub-aperture image. in 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS., 4242002, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3325-3328, 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Denver, CO, United States, 7/31/06. https://doi.org/10.1109/IGARSS.2006.854

@inproceedings{9a6a1bb64ab3437689059ba93de59cbf,

title = "Moving target detection based on sub-aperture image",

abstract = "In conventional monostatic synthetic aperture radar system, it is difficult to detect moving target in clutter background. In this paper, a new algorithm called sub-aperture image cancellation is proposed for moving target detection. In this algorithm, based on Doppler parameters of stationary background, a matched function band is designed for sub-aperture imaging. The sub-aperture images are cancelled to eliminate the clutters from background. By azimuth-direction summation of cancelled images, the energy of moving target is accumulated and the variance of noise is reduced. Two thresholds are used to implement constant false alarm rate to detect moving target The algorithm is verified by RADARSAT-I data. Some moving targets are found in sub-aperture image.",

keywords = "Matched function band, Moving target detection, SAR, Sub-aperture imaging",

author = "Zhang Weijie and Peng Yingning and Li Wenwen",

year = "2006",

doi = "10.1109/IGARSS.2006.854",

language = "English (US)",

isbn = "0780395107",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "3325--3328",

booktitle = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS",

note = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS ; Conference date: 31-07-2006 Through 04-08-2006",

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T1 - Moving target detection based on sub-aperture image

AU - Weijie, Zhang

AU - Yingning, Peng

AU - Wenwen, Li

PY - 2006

Y1 - 2006

N2 - In conventional monostatic synthetic aperture radar system, it is difficult to detect moving target in clutter background. In this paper, a new algorithm called sub-aperture image cancellation is proposed for moving target detection. In this algorithm, based on Doppler parameters of stationary background, a matched function band is designed for sub-aperture imaging. The sub-aperture images are cancelled to eliminate the clutters from background. By azimuth-direction summation of cancelled images, the energy of moving target is accumulated and the variance of noise is reduced. Two thresholds are used to implement constant false alarm rate to detect moving target The algorithm is verified by RADARSAT-I data. Some moving targets are found in sub-aperture image.

AB - In conventional monostatic synthetic aperture radar system, it is difficult to detect moving target in clutter background. In this paper, a new algorithm called sub-aperture image cancellation is proposed for moving target detection. In this algorithm, based on Doppler parameters of stationary background, a matched function band is designed for sub-aperture imaging. The sub-aperture images are cancelled to eliminate the clutters from background. By azimuth-direction summation of cancelled images, the energy of moving target is accumulated and the variance of noise is reduced. Two thresholds are used to implement constant false alarm rate to detect moving target The algorithm is verified by RADARSAT-I data. Some moving targets are found in sub-aperture image.

KW - Matched function band

KW - Moving target detection

KW - SAR

KW - Sub-aperture imaging

UR - http://www.scopus.com/inward/record.url?scp=34948842543&partnerID=8YFLogxK

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DO - 10.1109/IGARSS.2006.854

M3 - Conference contribution

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SN - 9780780395107

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 3325

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BT - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

T2 - 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

Y2 - 31 July 2006 through 4 August 2006

ER -

Moving target detection based on sub-aperture image

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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