CFAR Detection of Extended Targets in SAR Images Based on Goodness-of-Fit Test

A new constant false alarm rate (CFAR) detection scheme based on the goodness-of-fit (GoF) test is proposed to deal with the problem of extended object detection in high resolution synthetic aperture radar (SAR) images. The performance of this detector is compared with that of the traditional detect...

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Veröffentlicht in:	IEICE Transactions on Communications 2009/02/01, Vol.E92.B(2), pp.691-694
Hauptverfasser:	DENG, Xiaobo, PI, Yiming, CAO, Zhenglin
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Boundaries CFAR detection Constant false alarm rate Detection, estimation, filtering, equalization, prediction Detectors Exact sciences and technology False alarms goodness-of-fit test High resolution Information, signal and communications theory Pattern recognition Radiolocalization and radionavigation SAR Signal and communications theory Signal processing Signal, noise Synthetic aperture radar Telecommunications Telecommunications and information theory Weibull background
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Beschreibung
Zusammenfassung:	A new constant false alarm rate (CFAR) detection scheme based on the goodness-of-fit (GoF) test is proposed to deal with the problem of extended object detection in high resolution synthetic aperture radar (SAR) images. The performance of this detector is compared with that of the traditional detectors using the MSTAR database. Results show that the proposed detector is superior to the traditional detectors in controlling false alarms in nonhomogeneous environment where boundaries widely exist.
ISSN:	0916-8516 1745-1345
DOI:	10.1587/transcom.E92.B.691