Literature DB >> 18282821

Survey of neural network technology for automatic target recognition.

M W Roth1.   

Abstract

A review is presented of ATR (automatic target recognition), and some of the highlights of neural network technology developments that have the potential for making a significant impact on ATR are presented. In particular, neural network technology developments in the areas of collective computation, learning algorithms, expert systems, and neurocomputer hardware could provide crucial tools for developing improved algorithms and computational hardware for ATR. The discussion covers previous ATR system efforts. ATR issues and needs, early vision and collective computation, learning and adaptation for ATR, feature extraction, higher vision and expert systems, and neurocomputer hardware.

Entities:  

Year:  1990        PMID: 18282821     DOI: 10.1109/72.80203

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  1 in total

1.  A compact methodology to understand, evaluate, and predict the performance of automatic target recognition.

Authors:  Yanpeng Li; Xiang Li; Hongqiang Wang; Yiping Chen; Zhaowen Zhuang; Yongqiang Cheng; Bin Deng; Liandong Wang; Yonghu Zeng; Lei Gao
Journal:  Sensors (Basel)       Date:  2014-06-25       Impact factor: 3.576

  1 in total

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