Automatic Reference Image Selection for Color Balancing in Remote Sensing Imagery Mosaic
Automatic Reference Image Selection for Color Balancing in Remote Sensing Imagery Mosaic
复制标题
自动参考图像选择以实现遥感影像马赛克中的色彩平衡
DOI：
10.1109/lgrs.2017.2676438
复制
发表时间：
2017-03
影响因子：
4.8
通讯作者：
Lu Yihui
中科院分区：
文献类型：
--
作者：
Yu Lei;Zhang Yongjun;Sun Mingwei;Lu Yihui
参考图像的选择是色彩平衡的重要步骤。然而，以往的研究和现有的方法都没有对其进行重点研究，导致在遥感图像拼接中缺乏一种有效的选择参考图像进行色彩平衡的方法。本文提出了一种新的参考图像自动选择方法，该方法旨在根据目标图像的地表类型，通过评估多因素来选择参考图像。该方法解决了传统方法中使用单一评估因子和选择单一图像作为参考的局限性。此外，该方法比不需要参考图像的方法具有更广泛的应用范围。视觉实验结果表明，该方法可以选择合适的参考图像，有利于色彩平衡效果，优于其他对比方法。此外，该方法的偏度度量的绝对平均值为0.0831，低于其他比较方法的值。结果表明，该方法对颜色信息的处理效果最好。采用均值绝对差度量的定量分析表明，该方法具有良好的光谱信息保持能力，与其他方法相比，该方法的光谱变化率至少降低了10.66%。
Selection of a reference image is an important step in color balancing. However, the past research and currently available methods do not focus on it, leading to the lack of an effective way to select the reference image for color balancing in remote sensing imagery mosaic. This letter proposes a novel automatic reference image selection method that aims to select the reference images by assessing multifactors according to the land surface types of the target images. The proposed method addresses the limitations caused by the use of a single assessment factor as well as the selection of a single image as the reference in traditional methods. In addition, the proposed method has a wider range of applications than those requiring no reference image. The visual experimental results indicate that the proposed method can select the suitable reference images, which benefits the color balancing result, and outperforms the other comparative methods. Moreover, the absolute mean value of skewness metric of the proposed method is 0.0831, which is lower than the values of the other comparison methods. It indicates that the result of the proposed method had the best performance in the color information. The quantitative analyses with the metric of absolute difference of mean value indicate that the proposed method has a good ability in maintaining the spectral information, and the spectral changing rates had been reduced at least 10.66% by the proposed method when compared with the other methods.
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