摘要
综述了国内外水下目标自动识别领域的研究现状和实现的核心技术途径.分析了在该领域的研究热点和发展趋势。
Automatic target recognition of sonar targets is one among the key techniques in modern sonar systems. The feature extraction techniques of active and passive sonar such as spectrum analysis, wavelet transform and so on, are discussed in this paper. The advantages and disadvantages of possible methods in feature fusion and target recognition such as neural networks, fuzzy logic and decision fusion are analyzed. The trends and research emphasis in this field are briefly reviewed.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
1998年第3期275-280,共6页
Acta Armamentarii
关键词
自动目标识别
水声
信号处理
模式识别
UTAR
automatic target recognition, underwater acoustical signal processing, pattern recognition