| 中巴资源卫星（CBERS-02B）遥感影像数据融合研究 |
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| 引用本文： | 许文波,;徐娇,;黄健熙,;刘军,;范学宇.中巴资源卫星（CBERS-02B）遥感影像数据融合研究[J].测绘软科学研究,2009(4):37-43. |
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| 作者姓名： | 许文波 ;徐娇 ;黄健熙 ;刘军 ;范学宇 |
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| 作者单位： | [1]电子科技大学自动化工程学院,四川成都610054; [2]中石油四川成都销售分公司,四川成都610050; [3]中国农业大学信息与电气工程学院,北京100083 |
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| 摘 要： | 在阐述和分析中巴资源卫星（CBERS-02B）数据特点的基础上,对像素级融合的方法进行分析,重点针对CBERS-02B星上的多光谱和全色数据进行融合算法的实验,分别采用主成分变换和小波变换融合,然后使用PCA与小波分解相结合的融合方法,最后对不同融合算法结果从均值、标准方差、信息熵、扭曲度等指标进行了比较分析与评价。
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| 关 键 词： | 图像融合 主成分分析 小波融合 |
Research of CBERS-02B Data Image Fusion |
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| Institution: | XU Wen-bo, XU Jiao, HUANG Jian-xi, LIU Jun, FAN Xue-yu ( 1.School of Automation, University of Electronic Science and Technology of China, Chengdu 610054, China; 2.China National Petroleum Marketing Company in Chengdu, Chengdu,610050,China; 3. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083,China) |
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| Abstract: | In this paper, on the basis of the characteristic of the CBERS （CBERS-02B） and the pixel-level image fusion method of remote sensing data. This paper focuses on experimental image fusion algorithm between CBERS-02B multi-spectral and panchromatic data of the fusion. Firstly, principal component analysis （PCA） transform and wavelet transform fusion were carried out respectively, and then PCA combined with wavelet decomposition of the fusion method was also adopted. Comparative analysis and evaluation of the effectiveness of a variety of fusion algorithm were got from the perspective of mean, standard deviation, information entropy, distortion indicators. |
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| Keywords: | image fusion PCA wavelet |
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