A nearest neighbor fuzzy classifier for radar target recognition using combined features

Liu Xiankang; Gao Meiguo; Fu Xiongjun

doi:10.1109/ICOSP.2006.345817

A nearest neighbor fuzzy classifier for radar target recognition using combined features

Liu Xiankang^*, Gao Meiguo, Fu Xiongjun

^*Corresponding author for this work

Beijing Institute of Technology

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

3 Citations (Scopus)

Abstract

This paper presents a nearest neighbor fuzzy classifier (NNFC), which is very suitable to process the combined features with different data types and scales. The NNFC does not require the combined features with the same data types and scales, and it is not necessary to perform any pre-processing. It uses the fuzzy membership function to process each feature of the combined features. Experiments with real satellite data show that the NNFC can effectively perform radar target recognition of multiple features combination.

Original language	English
Title of host publication	8th International Conference on Signal Processing, ICSP 2006
DOIs	https://doi.org/10.1109/ICOSP.2006.345817
Publication status	Published - 2007
Event	8th International Conference on Signal Processing, ICSP 2006 - Guilin, China Duration: 16 Nov 2006 → 20 Nov 2006

Publication series

Name	International Conference on Signal Processing Proceedings, ICSP
Volume	3

Conference

Conference	8th International Conference on Signal Processing, ICSP 2006
Country/Territory	China
City	Guilin
Period	16/11/06 → 20/11/06

Access to Document

10.1109/ICOSP.2006.345817

Cite this

Xiankang, L., Meiguo, G., & Xiongjun, F. (2007). A nearest neighbor fuzzy classifier for radar target recognition using combined features. In 8th International Conference on Signal Processing, ICSP 2006 Article 4129176 (International Conference on Signal Processing Proceedings, ICSP; Vol. 3). https://doi.org/10.1109/ICOSP.2006.345817

@inproceedings{2c69fa6f13fb4159bf1a491f005a7430,

title = "A nearest neighbor fuzzy classifier for radar target recognition using combined features",

abstract = "This paper presents a nearest neighbor fuzzy classifier (NNFC), which is very suitable to process the combined features with different data types and scales. The NNFC does not require the combined features with the same data types and scales, and it is not necessary to perform any pre-processing. It uses the fuzzy membership function to process each feature of the combined features. Experiments with real satellite data show that the NNFC can effectively perform radar target recognition of multiple features combination.",

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

year = "2007",

doi = "10.1109/ICOSP.2006.345817",

language = "English",

isbn = "0780397371",

series = "International Conference on Signal Processing Proceedings, ICSP",

booktitle = "8th International Conference on Signal Processing, ICSP 2006",

note = "8th International Conference on Signal Processing, ICSP 2006 ; Conference date: 16-11-2006 Through 20-11-2006",

}

Xiankang, L, Meiguo, G & Xiongjun, F 2007, A nearest neighbor fuzzy classifier for radar target recognition using combined features. in 8th International Conference on Signal Processing, ICSP 2006., 4129176, International Conference on Signal Processing Proceedings, ICSP, vol. 3, 8th International Conference on Signal Processing, ICSP 2006, Guilin, China, 16/11/06. https://doi.org/10.1109/ICOSP.2006.345817

A nearest neighbor fuzzy classifier for radar target recognition using combined features. / Xiankang, Liu; Meiguo, Gao; Xiongjun, Fu.
8th International Conference on Signal Processing, ICSP 2006. 2007. 4129176 (International Conference on Signal Processing Proceedings, ICSP; Vol. 3).

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

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AU - Meiguo, Gao

AU - Xiongjun, Fu

PY - 2007

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N2 - This paper presents a nearest neighbor fuzzy classifier (NNFC), which is very suitable to process the combined features with different data types and scales. The NNFC does not require the combined features with the same data types and scales, and it is not necessary to perform any pre-processing. It uses the fuzzy membership function to process each feature of the combined features. Experiments with real satellite data show that the NNFC can effectively perform radar target recognition of multiple features combination.

AB - This paper presents a nearest neighbor fuzzy classifier (NNFC), which is very suitable to process the combined features with different data types and scales. The NNFC does not require the combined features with the same data types and scales, and it is not necessary to perform any pre-processing. It uses the fuzzy membership function to process each feature of the combined features. Experiments with real satellite data show that the NNFC can effectively perform radar target recognition of multiple features combination.

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DO - 10.1109/ICOSP.2006.345817

M3 - Conference contribution

AN - SCOPUS:34249298351

SN - 0780397371

SN - 9780780397378

T3 - International Conference on Signal Processing Proceedings, ICSP

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T2 - 8th International Conference on Signal Processing, ICSP 2006

Y2 - 16 November 2006 through 20 November 2006

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A nearest neighbor fuzzy classifier for radar target recognition using combined features

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