Title :
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
fDate :
Oct. 30 1995-Nov. 1 1995
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;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540874