Study on optimum fusion algorithms of IKONOS high spatial resolution remote sensing image

IKONOS image provides the 1m high spatial panchromatic and the 4 m multi-spectral data, which can be fused to improve the class accuracy of visual or computer interpretation. The fusion techniques have been developed an important remote sensing research topic. In this paper, with the IKONOS image of CHONGQING acquired on May 23, 2010 as the experimental data, several image fusion algorithms as commonly used in the image fusion experiment were applied; analysis for the experimental results were made on the basis of two remote sensing image processing softwares: ENVT 4.7 and ERDAS 9.3. It is shown that Gram-schmidt fusion algorithm of ENVI 4.7 is the optimum method for IKONOS high spatial resolution remote sensing image.