Fusion of Multispectral and Panchromatic Images Based on Morphological Operators
Fusion of Multispectral and Panchromatic Images Based on Morphological Operators
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DOI：
10.1109/tip.2016.2556944
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发表时间：
2016-04
影响因子：
10.6
通讯作者：
R. Restaino;G. Vivone;M. Mura;J. Chanussot
中科院分区：
文献类型：
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作者：
R. Restaino;G. Vivone;M. Mura;J. Chanussot
非线性分解方案构成了一个替代经典的方法来面对数据融合的问题。在本文中，我们讨论了这种方法的应用，一个流行的遥感应用称为泛锐化，其中包括在低分辨率的多光谱图像和高分辨率全色图像的融合。我们设计了一个完整的泛锐化方案的基础上使用形态学半梯度算子，并证明了这种算法的适用性，通过比较与国家的最先进的方法。由Pleiades，Worldview-2，Ikonos和Geoeye-1卫星获得的四个数据集用于性能评估，证明了所提出的方法在产生与特定传感器无关的设置的顶级图像的有效性。
Nonlinear decomposition schemes constitute an alternative to classical approaches for facing the problem of data fusion. In this paper, we discuss the application of this methodology to a popular remote sensing application called pansharpening, which consists in the fusion of a low resolution multispectral image and a high-resolution panchromatic image. We design a complete pansharpening scheme based on the use of morphological half gradient operators and demonstrate the suitability of this algorithm through the comparison with the state-of-the-art approaches. Four data sets acquired by the Pleiades, Worldview-2, Ikonos, and Geoeye-1 satellites are employed for the performance assessment, testifying the effectiveness of the proposed approach in producing top-class images with a setting independent of the specific sensor.