The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
고해상도 SAR(합성 개구 레이더) 이미지에서 확장된 객체 감지 문제를 처리하기 위해 GoF(적합도) 테스트를 기반으로 하는 새로운 CFAR(상수 오류 경보율) 감지 방식이 제안되었습니다. 이 검출기의 성능은 MSTAR 데이터베이스를 사용하는 기존 검출기의 성능과 비교됩니다. 결과는 제안된 검출기가 경계가 널리 존재하는 비균질 환경에서 잘못된 경보를 제어하는 데 기존 검출기보다 우수하다는 것을 보여줍니다.
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Xiaobo DENG, Yiming PI, Zhenglin CAO, "CFAR Detection of Extended Targets in SAR Images Based on Goodness-of-Fit Test" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 2, pp. 691-694, February 2009, doi: 10.1587/transcom.E92.B.691.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.691/_p
부
@ARTICLE{e92-b_2_691,
author={Xiaobo DENG, Yiming PI, Zhenglin CAO, },
journal={IEICE TRANSACTIONS on Communications},
title={CFAR Detection of Extended Targets in SAR Images Based on Goodness-of-Fit Test},
year={2009},
volume={E92-B},
number={2},
pages={691-694},
abstract={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.},
keywords={},
doi={10.1587/transcom.E92.B.691},
ISSN={1745-1345},
month={February},}
부
TY - JOUR
TI - CFAR Detection of Extended Targets in SAR Images Based on Goodness-of-Fit Test
T2 - IEICE TRANSACTIONS on Communications
SP - 691
EP - 694
AU - Xiaobo DENG
AU - Yiming PI
AU - Zhenglin CAO
PY - 2009
DO - 10.1587/transcom.E92.B.691
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2009
AB - 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.
ER -