Key points are not available for this paper at this time.
In this paper we briefly review the techniques used to solve the automatic target recognition (ATR) problem. Emphasis is placed on the algorithmic and implementation approaches. The evaluation of ATR algorithms such as target detection, segmentation, feature evaluation and classification are discussed in detail and several new quantitative criteria are suggested. The evaluation approach is discussed and various problems encountered in the evaluation of algorithms are addressed. Strategies to be used in the data base design are outlined. New techniques such as the use of semantic and structural information, hierarchical reasoning in the classification and incorporation of multisensor in the ATR systems are also presented.
Bir Bhanu (Mon,) studied this question.