SAR/IR sensor image fusion and real-time implementation

Author

Li, H. ; Zhou, Y.T. ; Chellappa, Rama

Author_Institution

HNC Software Inc., San Diego, CA, USA

Volume

2

fYear

1995

fDate

Oct. 30 1995-Nov. 1 1995

Firstpage

1121

Abstract

This paper presents a real time SAR/IR fusion system for automatic target recognition (ATR) applications. The system contains three major components: preprocessing, registration and fusion. The registration algorithm is based on Zheng-Chellappa´s (see IEEE Transactions on Image Processing, no.7, p.311, 1993) APFBR work. The fusion algorithm employs a biologically inspired merging rule to carry out SAR/IR fusion at the pixel level. In the fused images, features from individual sensor images are not only preserved but also enhanced. The fused images are more suitable for visual perception and ATR operations. The system has been implemented on a SIMD parallel processor to achieve real-time performance. It has been extensively tested on real SAR/IR data.

Keywords

synthetic aperture radar; ATR applications; SAR/IR sensor image fusion; SIMD parallel processor; automatic target recognition; biologically inspired merging rule; fused images; fusion algorithm; image enhancement; image registration; pixel level fusion; preprocessing; real time SAR/IR fusion system; real-time implementation; real-time performance; registration algorithm; sensor image features; visual perception; Biosensors; Image fusion; Image sensors; Infrared image sensors; Merging; Real time systems; Sensor fusion; Sensor phenomena and characterization; Target recognition; Visual perception;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-8186-7370-2

Type

conf

DOI

10.1109/ACSSC.1995.540874

Filename

540874