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声呐自动目标识别(ATR)旨在自动地从背景或杂波中分离出感兴趣目标,一个声呐自动目标识别系统的可行与否取决于它的目标探测性能和识别分类系统的运算效率及训练效率。文章综述了当今信息论在声呐ATR中应用中的理论基础及其可行性分析,最后给出了信息论在声呐ATR特征提取中的应用举例。
Sonar Automatic Target Recognition (ATR) aims to automatically separate the target of interest from the background or clutter. The feasibility of an Sonar automatic target recognition system depends on its target detection performance and the efficiency and efficiency of the recognition classification system . This paper summarizes the theoretical basis and feasibility analysis of today’s information theory in sonar ATR, and finally gives an example of the application of information theory in sonar ATR feature extraction.