Title :
The second-order neural network for radar ship target recognition
Author :
Min, Liang ; Zhongkang, Sun ; Liu Juchang
Author_Institution :
Dept. of Electr. Eng., Changsha Inst. Technol., China
Abstract :
The use of neural networks for radar ship target recognition is discussed. A practical approach to recognizing radar ship targets with similar video echoes while maintaining identification is proposed and simulated. Preprocessing is performed using Fourier-Mellin transform and coding transform, after which the frequencies of occurrence of the specific binary words, such as diagrams and trigrams, are chosen as features. A smaller neural network can be trained to identify the radar ship target by extracted features
Keywords :
feature extraction; image processing; learning (artificial intelligence); neural nets; radar applications; ships; Fourier-Mellin transform; binary words; coding transform; diagrams; identification; radar ship target recognition; second-order neural network; trigrams; video echoes; Feature extraction; Fourier transforms; Frequency; Marine vehicles; Network address translation; Neural networks; Neurons; Radar; Sun; 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.1992.220609
