一种新的全色与多光谱图像融合变分模型

马宁; 周则明; 张鹏; 罗立民

doi:10.3724/SP.J.1004.2013.00179

一种新的全色与多光谱图像融合变分模型

doi: 10.3724/SP.J.1004.2013.00179

马宁^1,2,,
周则明²,
张鹏²,
罗立民¹

1.
东南大学影像科学与技术实验室南京 210096;
2.
解放军理工大学气象学院南京 211101

详细信息

通讯作者:
马宁

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- 被引次数: 0
出版历程
- 收稿日期: 2011-01-12
- 修回日期: 2012-04-20
- 刊出日期: 2013-02-20

A New Variational Model for Panchromatic and Multispectral Image Fusion

1.
Laboratory of Image Science and Technology, Southeast University, Nanjing 210096;
2.
Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101

摘要

摘要: 图像融合是提供包含各输入图像互补信息的单幅图像的有力工具. 本文提出了一种新的用于全色和多光谱图像融合的变分模型. 在Socolinsky对比度模型的基础上构造了一个改进的能量泛函最小化问题, 以寻找最接近全色图像梯度的解.为了提高多光谱图像的空间分辨率,并尽可能地保持其原有的光谱信息, 还将光谱一致项、波段间相关项和对比度增强项引入融合模型. 在IKONOS和QuickBird数据集上测试了该模型的性能.实验结果表明该模型可以生成同时具有高空间质量和高光谱质量的融合图像.
- 图像融合 /
- 变分 /
- 能量泛函 /
- 光谱一致性 /
- IKONOS /
- QuickBird
Abstract: Image fusion is a powerful tool to provide a single image which contains the complementary information from the input images. A novel variational model is presented for panchromatic and multispectral image fusion. Based on the Socolinsky's contrast model, an advanced energy minimization problem is posed to find the solution whose gradient is closest to that of the panchromatic image. To improve the multispectral image's spatial resolution and preserve its spectral information as much as possible, spectral coherence, interband correlation and contrast enhancement terms are explicitly enforced into the fusion process. The performance of our model is evaluated on several IKONOS and QuickBird datasets. Experimental results show that our model can produce images with both high spatial and high spectral quality.
- Image fusion /
- variation /
- energy functional /
- spectral coherence /
- IKONOS /
- QuickBird

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参考文献(1)

[1]

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