基于小波变换的多源遥感数据融合方法研究

doi:10.6046/gtzyyg.2003.04.08

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摘要以北京亚运村TM和QuickBird图像为数据源,根据Mallat小波算法,结合HIS数据融合理论,提出了基于小波局部高频替代融合法。该方法使融合图像既具有高空间分辨率图像的结构信息,又保持了多光谱图像的光谱特征,提高了多光谱图像的分类精度和量测能力。

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Abstract：Image fusion is the combination of two or more different images to form a new image that contains enhanced information. Consistent with specific application goals, a variety of image products arise from many available fusion algorithms. The essential objective of the image fusion is that nearly all of the original application-specific information should be preserved, and artifacts should be minimized in the final product. The wavelet transform, a well-known and solid mathematical tool already applied to multi-sensor image fusion, allows the decomposition of an image into its constituent spatial scale layers. This paper presents the Local-High-Frequency-Replaced fusion method, a new scheme for multi-resolution image fusion as a further development of the application of wavelet analysis on image fusion. This method has been proved to have the capacity to preserve the finest spatial information of the input images and minimize artifact in the final fused product.

收稿日期: 2003-05-29 出版日期: 2011-08-02

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作者简介: 牟凤云(1979-),女,山东省高密市人,硕士研究生,主要从事GIS和遥感理论与应用的研究.

引用本文:

牟凤云, 朱博勤, 贺华中. 基于小波变换的多源遥感数据融合方法研究[J]. 国土资源遥感, 2003, 15(4): 30-34.
MU Feng-yun, ZHU Bo-qin, HE Hua-zhong. RESEARCH ON THE FUSION OF MULTI-SOURCE REMOTELY SENSED DATA BASED ON WAVELET TRANSFORM. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(4): 30-34.

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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2003.04.08 或 https://www.gtzyyg.com/CN/Y2003/V15/I4/30

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