Fusion of intelligent agents for the detection of aircraft in SAR images

被引：28

作者：

Filippidis, A

Jain, LC

Martin, N

机构：

[1] Def Sci & Technol Org, Land Operat Div, Salisbury, SA 5108, Australia

[2] Univ S Australia, Knowledge Based Intelligent Engn Syst Ctr, Mawson Lakes, SA 5095, Australia

[3] Def Sci & Technol Org, Weap Syst Div, Salisbury, SA 5108, Australia

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2000年 / 22卷 / 04期

关键词：

fusion; Automatic Target Recognition;

D O I：

10.1109/34.845380

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Receiver Operating Curves are used in the analysis of 20 images using a novel Automatic Target Recognition (ATR) Fusion System. Fuzzy reasoning is used to improve the accuracy of the automatic detection of aircraft in Synthetic Aperture Radar (SAR) images using a priori knowledge derived from color aerial photographs. The images taken by the two different sensors are taken at different times. In summarizing the results of our experiments using real and generated targets with noise for a probability of detection of 91.5 percent using the ATR fusion technique, we have improved our false alarm rates by approximately 17 percent over using texture classification.

引用

页码：378 / 384

页数：7