Comparison of Multi-Spectral and Panchromatic Remote Sensing Image Fusion Algorithm of TM&SPOT
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    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.

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邓超,李慧娜,韩杰. TM多光谱与SPOT 全色遥感图像融合算法对比.计算机系统应用,2012,21(2):237-240

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  • Received:June 11,2011
  • Revised:July 23,2011
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