Application of HRRP even rank central moments features in satellite target recognition

Xiankang Liu; Meiguo Gao; Xiongjun Fu

doi:10.1049/cp:20070620

Application of HRRP even rank central moments features in satellite target recognition

Xiankang Liu^*, Meiguo Gao, Xiongjun Fu

^*Corresponding author for this work

Beijing Institute of Technology

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

6 Citations (Scopus)

Abstract

Because high resolution range profile (HRRP) is sensitive to pose and translation, HRRP even rank central moments are proposed to be used as a kind of stable target feature in satellite target recognition. HRRP SNR is enhanced by wavelet denoising, then translation-invariant central moments are extracted. In order to reduce the feature vector dimension, even rank central moments are proposed to be used alone. Nearest neighbor fuzzy classifier (NNFC) that is very fit for combined features is introduced to process the central moments features vector. Experimental results with real satellite data show that good recognition performance is obtained.

Original language	English
Title of host publication	RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems
Edition	530 CP
DOIs	https://doi.org/10.1049/cp:20070620
Publication status	Published - 2007
Event	RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems - Edinburgh, United Kingdom Duration: 15 Oct 2007 → 18 Oct 2007

Publication series

Name	IET Conference Publications
Number	530 CP

Conference

Conference	RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems
Country/Territory	United Kingdom
City	Edinburgh
Period	15/10/07 → 18/10/07

Keywords

Even rank central moments
High resolution range profile
Nearest neighbor fuzzy classifier

Access to Document

10.1049/cp:20070620

Cite this

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title = "Application of HRRP even rank central moments features in satellite target recognition",

abstract = "Because high resolution range profile (HRRP) is sensitive to pose and translation, HRRP even rank central moments are proposed to be used as a kind of stable target feature in satellite target recognition. HRRP SNR is enhanced by wavelet denoising, then translation-invariant central moments are extracted. In order to reduce the feature vector dimension, even rank central moments are proposed to be used alone. Nearest neighbor fuzzy classifier (NNFC) that is very fit for combined features is introduced to process the central moments features vector. Experimental results with real satellite data show that good recognition performance is obtained.",

keywords = "Even rank central moments, High resolution range profile, Nearest neighbor fuzzy classifier",

author = "Xiankang Liu and Meiguo Gao and Xiongjun Fu",

year = "2007",

doi = "10.1049/cp:20070620",

language = "English",

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series = "IET Conference Publications",

number = "530 CP",

booktitle = "RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems",

edition = "530 CP",

note = "RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems ; Conference date: 15-10-2007 Through 18-10-2007",

}

Liu, X, Gao, M & Fu, X 2007, Application of HRRP even rank central moments features in satellite target recognition. in RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems. 530 CP edn, IET Conference Publications, no. 530 CP, RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems, Edinburgh, United Kingdom, 15/10/07. https://doi.org/10.1049/cp:20070620

Application of HRRP even rank central moments features in satellite target recognition. / Liu, Xiankang; Gao, Meiguo ; Fu, Xiongjun.
RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems. 530 CP. ed. 2007. (IET Conference Publications; No. 530 CP).

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

TY - GEN

T1 - Application of HRRP even rank central moments features in satellite target recognition

AU - Liu, Xiankang

AU - Gao, Meiguo

AU - Fu, Xiongjun

PY - 2007

Y1 - 2007

N2 - Because high resolution range profile (HRRP) is sensitive to pose and translation, HRRP even rank central moments are proposed to be used as a kind of stable target feature in satellite target recognition. HRRP SNR is enhanced by wavelet denoising, then translation-invariant central moments are extracted. In order to reduce the feature vector dimension, even rank central moments are proposed to be used alone. Nearest neighbor fuzzy classifier (NNFC) that is very fit for combined features is introduced to process the central moments features vector. Experimental results with real satellite data show that good recognition performance is obtained.

AB - Because high resolution range profile (HRRP) is sensitive to pose and translation, HRRP even rank central moments are proposed to be used as a kind of stable target feature in satellite target recognition. HRRP SNR is enhanced by wavelet denoising, then translation-invariant central moments are extracted. In order to reduce the feature vector dimension, even rank central moments are proposed to be used alone. Nearest neighbor fuzzy classifier (NNFC) that is very fit for combined features is introduced to process the central moments features vector. Experimental results with real satellite data show that good recognition performance is obtained.

KW - Even rank central moments

KW - High resolution range profile

KW - Nearest neighbor fuzzy classifier

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U2 - 10.1049/cp:20070620

DO - 10.1049/cp:20070620

M3 - Conference contribution

AN - SCOPUS:57649170944

SN - 9780863418488

T3 - IET Conference Publications

BT - RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems

T2 - RADAR 2007 - The Institution of Engineering and Technology International Conference on Radar Systems

Y2 - 15 October 2007 through 18 October 2007

ER -

Application of HRRP even rank central moments features in satellite target recognition

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Keywords

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