Title :
Incoherent radar target recognition using semi-fuzzy clustering
Author :
Min, Lianp ; Ju-chang, Liu ; Ming, Ji
Author_Institution :
Dept. of Electr. Eng., Changsha Inst. Technol., China
Abstract :
The problem of incoherent radar target recognition is discussed. A feature extraction algorithm is presented based on an AR model and optimal discriminant subspace, and a classification algorithm for the extracted features is proposed using semi-fuzzy clustering. An experimental automatic incoherent radar ship target recognition system is implemented with the proposed algorithms, and results are illustrated
Keywords :
feature extraction; fuzzy set theory; radar applications; ships; classification algorithm; feature extraction algorithm; incoherent radar target recognition; optimal discriminant subspace; semi-fuzzy clustering; ship target recognition; Automatic testing; Clustering algorithms; Data mining; Equations; Feature extraction; Hip; Radar; Sampling methods; Target recognition;
Conference_Titel :
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0652-X
DOI :
10.1109/NAECON.1992.220610
