TY - GEN
T1 - A nearest neighbor fuzzy classifier for radar target recognition using combined features
AU - Xiankang, Liu
AU - Meiguo, Gao
AU - Xiongjun, Fu
PY - 2007
Y1 - 2007
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.
UR - http://www.scopus.com/inward/record.url?scp=34249298351&partnerID=8YFLogxK
U2 - 10.1109/ICOSP.2006.345817
DO - 10.1109/ICOSP.2006.345817
M3 - Conference contribution
AN - SCOPUS:34249298351
SN - 0780397371
SN - 9780780397378
T3 - International Conference on Signal Processing Proceedings, ICSP
BT - 8th International Conference on Signal Processing, ICSP 2006
T2 - 8th International Conference on Signal Processing, ICSP 2006
Y2 - 16 November 2006 through 20 November 2006
ER -