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DOI:
计算机系统应用英文版:2012,21(2):237-240
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TM多光谱与SPOT 全色遥感图像融合算法对比
(1.河南理工大学 计算机科学与技术学院,焦作 454000;2.河南理工大学 测绘与国土信息工程学院,焦作 454000)
Comparison of Multi-Spectral and Panchromatic Remote Sensing Image Fusion Algorithm of TM&SPOT
(1.School of Computer Science &Technology, Henan Polytechnic University, Jiaozuo 454000, China;2.School of Surveying & Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China)
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Received:June 11, 2011    Revised:July 23, 2011
中文摘要: 融合技术是遥感数据处理中一种重要的方法。而TM 多光谱与 SPOT 全色图像是遥感融合最为普遍的选择。为了对比分析不同方法在融合TM 多光谱与SPOT 全色图像上的效果,提出基于色彩空间的HSV 变换、基于算数技术的Brovey 变换和Gram—Schmidt 波谱锐化3 种融合方法相结合,实现了对同一传感器的全色和多光谱数据融合。试验表明:就空间信息量而言,经过 HSV 变换的图像具有最大的空间信息,但其光谱保真能力最差;Brovey 变换最大限度保持了原始图像的光谱信息,而空间信息的详细程度较差;Gr
中文关键词: 遥感融合  信息熵  均值  标准差  质量评价
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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基金项目:中国博士后科学基金会和开放项目方案模式识别国家重点实验室(20090018),博士基金(648315)
引用文本:
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
DENG Chao,LI Hui-Na,HAN Jie.Comparison of Multi-Spectral and Panchromatic Remote Sensing Image Fusion Algorithm of TM&SPOT.COMPUTER SYSTEMS APPLICATIONS,2012,21(2):237-240