Restaino Rocco, Vivone Gemine, Dalla Mura Mauro, Chanussot Jocelyn
IEEE Trans Image Process. 2016 Jun;25(6):2882-2895. doi: 10.1109/TIP.2016.2556944. Epub 2016 Apr 20.
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.
非线性分解方案是应对数据融合问题的经典方法之外的另一种选择。在本文中，我们讨论了这种方法在一种名为全色锐化的流行遥感应用中的应用，全色锐化包括将低分辨率多光谱图像和高分辨率全色图像进行融合。我们基于形态学半梯度算子的使用设计了一种完整的全色锐化方案，并通过与现有方法的比较证明了该算法的适用性。使用由昴宿星、Worldview - 2、ikonos和Geoeye - 1卫星获取的四个数据集进行性能评估，证明了所提方法在独立于特定传感器的设置下生成顶级图像的有效性。
