| 多源遥感图像融合平台的设计与实现 |
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| 引用本文： | 周宇,张黎宁,吴丽梅. 多源遥感图像融合平台的设计与实现[J]. 南京林业大学学报(自然科学版), 2006, 30(4): 85-88 |
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| 作者姓名： | 周宇 张黎宁 吴丽梅 |
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| 作者单位： | 南京林业大学信息科学技术学院,江苏,南京,210037;南京林业大学信息科学技术学院,江苏,南京,210037;南京林业大学信息科学技术学院,江苏,南京,210037 |
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| 基金项目： | 南京林业大学校科研和教改项目 |
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| 摘 要： | 介绍了图像融合的框架层次结构，以及像素层、特征层和决策层3层图像融合的方法及其相互关系。分析了图像融合平台的设计与实现方法，选择基于DS证据理论和模糊Kohonen神经网络聚类算法，进行了适当改进，并加以验证。结果表明，模糊Kohonen神经网络聚类算法的聚类精度和聚类速度都要优于传统算法。
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| 关 键 词： | 图像融合 多源遥感图像 像素层融合 特征层融合 决策层融合 |
| 文章编号： | 1000-2006(2006)04-0085-04 |
| 收稿时间： | 2005-11-07 |
| 修稿时间： | 2006-04-27 |
Design and Implementation of Multi-source Remote Sensing Image Fusion Platform |
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| ZHOU Yu,ZHANG Li-ning,WU Li-mei. Design and Implementation of Multi-source Remote Sensing Image Fusion Platform[J]. Journal of Nanjing Forestry University(Natural Sciences ), 2006, 30(4): 85-88 |
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| Authors: | ZHOU Yu ZHANG Li-ning WU Li-mei |
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| Affiliation: | College of Information Science and Technology Nanjing Forestry University, Nanjing 210037,China |
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| Abstract: | Data fusion is an effective tool to process multi-source remote sensing images. The data fusion framework and configuration comprising of pixels-level, feature-level and decision-level fusions in detail, and their relationships were introduced. The design and implementation methods of data fusion platform were analyzed, and DS evidence theory based and fussy Kohonen neural network based cluster algorithm as a modified testing method were selected. The result shows that the cluster accuracy and speed of fuzzy Kohonen neural network cluster algorithm is better than that of traditional algorithms. |
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| Keywords: | Image fusion Multi-source remote sensing image Pixel-level fusion Feature-level fusion Decision-level fusion |
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