We present a new fusion algorithm based on a non-hierarchical fusion scheme. This new fusion algorithm uses a biologically inspired merging rule to combine multiple arbitrary sized sensor images into a single image without any parameter setting. Features from each individual sensor image are not only well retained in the fused image but also enhanced properly. Unlike the hierarchical fusion algorithms, the new algorithm does not suffer from frequency aliasing and no noise has been added to the fused image. The new algorithm is applicable to many different sensor images such as infrared (IR), TV, laser radar (LADAR) and synthetic aperture radar (SAR). It has been extensively and successfully tested on a verity of sensor data.<>
Multi-sensor image fusion
Proceedings of 1st International Conference on Image Processing ; 1 ; 193-197 vol.1
1994-01-01
438099 byte
Conference paper
Electronic Resource
English
British Library Conference Proceedings | 1994
|Survey of Multi-sensor Image Fusion
Springer Verlag | 2014
|Survey of Multi-sensor Image Fusion
British Library Conference Proceedings | 2014
|New Framework for Multi-Sensor Image Fusion
NTIS | 1998
|Multi-Sensor Image Fusion using the Wavelet Transform
British Library Conference Proceedings | 1994
|