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

Author

Filippidis, Arthur ; Jain, L.C. ; Martin, N.

Author_Institution

Land Oper. Div., Defence Sci. & Technol. Organ., Salisbury, SA, Australia

Volume

22

Issue

4

fYear

2000

fDate

4/1/2000 12:00:00 AM

Firstpage

378

Lastpage

384

Abstract

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

Keywords

aircraft; fuzzy logic; image recognition; multi-agent systems; object detection; radar imaging; sensor fusion; synthetic aperture radar; ATR fusion system; SAR images; aircraft detection; automatic target recognition; color aerial photographs; fuzzy reasoning; intelligent agent fusion; noise; receiver operating curves; synthetic aperture radar; texture classification; Aircraft; Colored noise; Fusion power generation; Fuzzy reasoning; Image analysis; Image sensors; Intelligent agent; Radar detection; Synthetic aperture radar; Target recognition;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.845380

Filename

845380