一种有效的WorldView-2卫星图像泛锐化方法

2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF) Pub Date : 2015-10-01 DOI:10.1109/ICEDIF.2015.7280168

Xu Li, Weifeng Qi

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引用次数: 4

摘要

泛锐化是将一组低空间分辨率的多光谱图像融合成高空间分辨率的全色图像，是遥感应用中的一种重要工具。新型高分辨率的WorldView-2卫星图像对图像融合技术提出了挑战。提出了一种有效的基于对应分析的泛锐化方法。实验结果表明，与现有方法相比，该方法可以有效地在光谱保真度和空间分辨率增强之间取得更好的平衡。

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An effective pansharpening method for WorldView-2 satellite images

Pansharpening has been an important tool in remote sensing applications, which transforms a set of low-spatial-resolution multispectral images to high-spatial-resolution images by fusing a co-registered fine-spatial-resolution panchromatic image. The new style very high-resolution WorldView-2 satellite images have posed challenges to the image fusion techniques. An effective pansharpening method based on correspondence analysis is presented in this paper. The experimental results show that the presented method can effectively obtain a better trade-off between the spectral fidelity and the spatial resolution enhancement compared to some existing methods.

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2015 International Conference on Estimation, Detection and Information Fusion (ICEDIF)

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