Comparison of Multi-Spectral and Panchromatic Remote Sensing Image Fusion Algorithm of TM&SPOT
TM多光谱与SPOT 全色遥感图像融合算法对比

The fusion technology is remote sensing data processing an important method.The TM multi-spectral and panchromatic SPOT images are the most popular choice of remote sensing.Comparative analysis of different methods for integration of TM multi-spectral and panchromatic SPOT image with the effect of the proposed change based on HSV color space,technology Brovey arithmetic transform and Gram-Schmidt spectral sharpening three fusion combined to achieve the same panchromatic and multi-spectral sensor data fusion.The assessment of experimental results indicates that： the amount of information in terms of space,after HSV transform the image with the largest spatial information,but its spectral fidelity have the least capacity;Brovey transform the original image to maintain the maximum spectral information,while the lower level of detail of spatial information;Gram-Schmidt spectral sharpening the image after the multi-spectral image not only maintain the spectral information,while maintaining a high spectral panchromatic image spatial detail information,is a better image fusion method.