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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Pansharpening for Multiband Images With Adaptive Spectral–Intensity Modulation
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Pansharpening for Multiband Images With Adaptive Spectral–Intensity Modulation

机译：具有自适应光谱强度调制的多波段图像的全锐化

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摘要

The pansharpening algorithm often faces an imbalance between spatial sharpness and spectral preservation, resulting in spectral and intensity inhomogeneities in the fused image. In this paper, to overcome this problem, we present a robust pansharpening method for multiband images with adaptive spectral–intensity modulation. In this method, we propose an adaptive spectral modulation coefficient (ASMC) and an adaptive intensity modulation coefficient (AIMC) to modulate the spectral and spatial information in the fused image, respectively. Among these coefficients, the ASMC is constructed based on two aspects: first, the details extracted from the panchromatic (PAN) and multispectral (MS) images; and second, the spectral relationship between each MS band. The AIMC is calculated by assessing the correlation and standard deviation between the PAN image and each MS band. Finally, we propose a mathematically linear model to combine ASMC and AIMC to achieve the fused image. Various remote-sensing satellite images were used in the evaluations. Experimental results indicate that the proposed method achieves outstanding performance in balancing spatial and spectral information and outperforms several state-of-the-art fusion methods in terms of both full-reference and no-reference metrics, and on visual inspection.
机译：全屏锐化算法通常会在空间清晰度和光谱保留之间面临不平衡，从而导致融合图像中的光谱和强度不均匀。在本文中，为了克服这个问题，我们提出了一种具有自适应频谱强度调制的鲁棒全锐化方法，用于多波段图像。在这种方法中，我们提出了一种自适应光谱调制系数（ASMC）和一种自适应强度调制系数（AIMC）来分别调制融合图像中的光谱信息和空间信息。在这些系数中，ASMC基于两个方面构建：首先，从全色（PAN）和多光谱（MS）图像中提取细节；第二，每个MS频段之间的频谱关系。通过评估PAN图像和每个MS频段之间的相关性和标准偏差来计算AIMC。最后，我们提出了一个数学线性模型，将ASMC和AIMC结合起来以获得融合图像。评价中使用了各种遥感卫星图像。实验结果表明，该方法在平衡空间和光谱信息方面取得了出色的性能，并且在全参考和无参考指标以及视觉检查方面均优于几种最新的融合方法。

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