| 基于边缘特征的遥感影像小波变换融合法 |
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| 引用本文： | 吴兆福,高飞,宫鹏. 基于边缘特征的遥感影像小波变换融合法[J]. 地球科学进展, 2005, 20(7): 705-709. DOI: 10.11867/j.issn.1001-8166.2005.07.0705 |
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| 作者姓名： | 吴兆福 高飞 宫鹏 |
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| 作者单位： | 南京大学城市与资源学系,江苏,南京,210093;合肥工业大学土木建筑工程学院,安徽,合肥,230009;合肥工业大学土木建筑工程学院,安徽,合肥,230009;伯克利加州大学环境科学、政策与管理系,美国,加利福尼亚 |
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| 摘 要： | 如何将不同空间分辨率遥感影像合理有效地融合在一起，保持原始多光谱影像的光谱特性，提高影像的分类精度和空间分解力，这是遥感影像数据融合处理的热点研究问题。在对原始遥感影像进行小波变换的基础上，提取高空间分辨率影像边缘特征信息，并与原始多光谱影像进行了融合处理。以IRS、SPOT和ETM卫星影像为资料进行实验，结果表明，该方法在提高影像的空间分辨率的同时，能够很好地保持影像的光谱特性，尤其在空间分辨率差异较大的影像融合中，该方法在保持影像光谱特性方面要优于其他的融合方法。
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| 关 键 词： | 边缘特征 小波变换 数据融合 |
| 文章编号： | 1001-8166(2005)07-0705-05 |
| 收稿时间： | 2004-07-02 |
| 修稿时间： | 2004-07-02 |
WAVELET TRANSFORMATION METHOD OF REMOTE SENSING IMAGES FUSION BASED ON EDGE FEATURES |
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| WU Zhao-fu,GAO Fei,GONG Peng. WAVELET TRANSFORMATION METHOD OF REMOTE SENSING IMAGES FUSION BASED ON EDGE FEATURES[J]. Advances in Earth Sciences, 2005, 20(7): 705-709. DOI: 10.11867/j.issn.1001-8166.2005.07.0705 |
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| Authors: | WU Zhao-fu GAO Fei GONG Peng |
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| Affiliation: | 1. Department of Urban and Resources Sciences, Nanjing University, Nanjing 210093, China；;2. School of Civil Engineering, Hefei University of Technology, Hefei 230009, China；;3. Department of ESPM, University of California Berkeley, California, USA |
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| Abstract: | How to fuse all kinds of images with various spatial resolution, to retain its spectral character, and to improve classification accuracy and spatial resolution is a hotspot in data fusion on remote sensing images. Based on wavelet transformation, the paper has extracted edge information of high spatial resolution image, and fused it with multi-spectral images. We chose IRS, SPOT and ETM images to do this experiment. The experimental results showed that it could improve spatial resolution of the multi-spectral images, while at the same time it also could retain spectral character very well with the method. Furthermore it is superior to other methods based on wavelet transformation in data fusion on remote sensing images with high spatial resolution difference. |
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| Keywords: | Edge features Wavelet transformation Data fusion |
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