Title: Comparison of Multi-Spectral and Panchromatic Remote Sensing Image Fusion Algorithm of TM&SPOT
Abstract: 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.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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Cited By Count: 3
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