A Compact Methodology to Understand, Evaluate, and Predict the Performance of Automatic Target Recognition

Sensors

Yanpeng Li²  Xiang Li²  Hongqiang Wang²  Yiping Chen²  Zhaowen Zhuang²  Yongqiang Cheng²  Bin Deng²  Liandong Wang¹  Yonghu Zeng¹ 

[1] State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE), Luoyang 471003, China; E-Mails:;School of Electrical Science and Engineering, National University of Defense Technology, 137 Yanwachi Street, Changsha 410073, China; E-Mails:

关键词: automatic target recognition;    performance evaluation;    performance prediction;   

DOI  :  10.3390/s140711308

来源: mdpi

【 摘 要 】

This paper offers a compacted mechanism to carry out the performance evaluation work for an automatic target recognition (ATR) system: (a) a standard description of the ATR system's output is suggested, a quantity to indicate the operating condition is presented based on the principle of feature extraction in pattern recognition, and a series of indexes to assess the output in different aspects are developed with the application of statistics; (b) performance of the ATR system is interpreted by a quality factor based on knowledge of engineering mathematics; (c) through a novel utility called “context-probability” estimation proposed based on probability, performance prediction for an ATR system is realized. The simulation result shows that the performance of an ATR system can be accounted for and forecasted by the above-mentioned measures. Compared to existing technologies, the novel method can offer more objective performance conclusions for an ATR system. These conclusions may be helpful in knowing the practical capability of the tested ATR system. At the same time, the generalization performance of the proposed method is good.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.