Modified nearest neighbor fuzzy classification algorithm for ship target recognition

Xiankang Liu; Baofa Wang; Xiaojian Xu; Jing Liang; Jie Ren; Cunwei Wei

doi:10.1109/ICIEA.2011.5975966

Modified nearest neighbor fuzzy classification algorithm for ship target recognition

Xiankang Liu^*
, Baofa Wang
, Xiaojian Xu
, Jing Liang
, Jie Ren
, Cunwei Wei

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University
No.701 Factory of PLA(N)

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

8 Scopus citations

Abstract

Modified nearest neighbor fuzzy classification (MNNFC) algorithm is proposed for the character of ship target high resolution range profile (HRRP). Ship length, dispersant, symmetry and central moments features are some stable features for ship HRRP and extracted accurately. Modified nearest neighbor fuzzy classification algorithm is designed for different features to contribute their predominance because the significance and stability of each feature are different. And the membership degree of each feature is modified differently. Experimental results with the actual measured data of 10 ships show that the proposed algorithm is very useful in ship target classification.

Original language	English
Title of host publication	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages	2254-2258
Number of pages	5
DOIs	https://doi.org/10.1109/ICIEA.2011.5975966
State	Published - 2011
Event	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China Duration: 21 Jun 2011 → 23 Jun 2011

Publication series

Name	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Conference

Conference	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/Territory	China
City	Beijing
Period	21/06/11 → 23/06/11

Keywords

central moments
high resolution range profile (HRRP)
modified nearest neighbor fuzzy classification(MNNFC)

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10.1109/ICIEA.2011.5975966

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Liu, X., Wang, B., Xu, X., Liang, J., Ren, J., & Wei, C. (2011). Modified nearest neighbor fuzzy classification algorithm for ship target recognition. In Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 (pp. 2254-2258). Article 5975966 (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011). https://doi.org/10.1109/ICIEA.2011.5975966

@inproceedings{220f136bd3194ca2a956a8be90cfaa28,

title = "Modified nearest neighbor fuzzy classification algorithm for ship target recognition",

abstract = "Modified nearest neighbor fuzzy classification (MNNFC) algorithm is proposed for the character of ship target high resolution range profile (HRRP). Ship length, dispersant, symmetry and central moments features are some stable features for ship HRRP and extracted accurately. Modified nearest neighbor fuzzy classification algorithm is designed for different features to contribute their predominance because the significance and stability of each feature are different. And the membership degree of each feature is modified differently. Experimental results with the actual measured data of 10 ships show that the proposed algorithm is very useful in ship target classification.",

keywords = "central moments, high resolution range profile (HRRP), modified nearest neighbor fuzzy classification(MNNFC)",

author = "Xiankang Liu and Baofa Wang and Xiaojian Xu and Jing Liang and Jie Ren and Cunwei Wei",

year = "2011",

doi = "10.1109/ICIEA.2011.5975966",

language = "英语",

isbn = "9781424487554",

series = "Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011",

pages = "2254--2258",

booktitle = "Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011",

note = "2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 ; Conference date: 21-06-2011 Through 23-06-2011",

}

Liu, X, Wang, B, Xu, X, Liang, J, Ren, J & Wei, C 2011, Modified nearest neighbor fuzzy classification algorithm for ship target recognition. in Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011., 5975966, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, pp. 2254-2258, 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, Beijing, China, 21/06/11. https://doi.org/10.1109/ICIEA.2011.5975966

Modified nearest neighbor fuzzy classification algorithm for ship target recognition. / Liu, Xiankang; Wang, Baofa; Xu, Xiaojian et al.
Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011. 2011. p. 2254-2258 5975966 (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011).

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

TY - GEN

T1 - Modified nearest neighbor fuzzy classification algorithm for ship target recognition

AU - Liu, Xiankang

AU - Wang, Baofa

AU - Xu, Xiaojian

AU - Liang, Jing

AU - Ren, Jie

AU - Wei, Cunwei

PY - 2011

Y1 - 2011

N2 - Modified nearest neighbor fuzzy classification (MNNFC) algorithm is proposed for the character of ship target high resolution range profile (HRRP). Ship length, dispersant, symmetry and central moments features are some stable features for ship HRRP and extracted accurately. Modified nearest neighbor fuzzy classification algorithm is designed for different features to contribute their predominance because the significance and stability of each feature are different. And the membership degree of each feature is modified differently. Experimental results with the actual measured data of 10 ships show that the proposed algorithm is very useful in ship target classification.

AB - Modified nearest neighbor fuzzy classification (MNNFC) algorithm is proposed for the character of ship target high resolution range profile (HRRP). Ship length, dispersant, symmetry and central moments features are some stable features for ship HRRP and extracted accurately. Modified nearest neighbor fuzzy classification algorithm is designed for different features to contribute their predominance because the significance and stability of each feature are different. And the membership degree of each feature is modified differently. Experimental results with the actual measured data of 10 ships show that the proposed algorithm is very useful in ship target classification.

KW - central moments

KW - high resolution range profile (HRRP)

KW - modified nearest neighbor fuzzy classification(MNNFC)

UR - https://www.scopus.com/pages/publications/80052221259

U2 - 10.1109/ICIEA.2011.5975966

DO - 10.1109/ICIEA.2011.5975966

M3 - 会议稿件

AN - SCOPUS:80052221259

SN - 9781424487554

T3 - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

SP - 2254

EP - 2258

BT - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

T2 - 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Y2 - 21 June 2011 through 23 June 2011

ER -

Liu X, Wang B, Xu X, Liang J, Ren J, Wei C. Modified nearest neighbor fuzzy classification algorithm for ship target recognition. In Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011. 2011. p. 2254-2258. 5975966. (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011). doi: 10.1109/ICIEA.2011.5975966

Modified nearest neighbor fuzzy classification algorithm for ship target recognition

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