首页> 外文期刊>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences >HIGH-RESOLUTION OPTICAL SATELLITE IMAGES COLOR CONSISTENCY METHOD BASED ON EXTERNAL COLOR REFERENCES
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HIGH-RESOLUTION OPTICAL SATELLITE IMAGES COLOR CONSISTENCY METHOD BASED ON EXTERNAL COLOR REFERENCES

机译:高分辨率光学卫星图像颜色一致性方法基于外部颜色参考

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Affected by factors such as season, illumination, atmospheric and sensor distortion, different satellite images often show obvious color difference, resulting in “stitching seams” at the edge of adjacent images, which seriously affects the application of satellite images. This study proposes a novel color consistency method for optical satellite images utilizing external color reference. Firstly, we improved the dark channel defogging method combining with the atmospheric distribution characteristics of satellite images, and used it to perform atmospheric correction on satellite images; Secondly, we corrected the color of atmospheric corrected satellite images through low-frequency signal replacement. Finally, we use a linear model to establish the relationship between high and low frequency signals, and stretching the high-frequency signal of images through local modelling. We selected two sets of representative experimental data for experiments, both the visual and quantitative obtained excellent results.
机译:受季节,照明,大气和传感器失真等因素影响,不同的卫星图像经常显示出明显的色差,导致相邻图像边缘处的“缝合接缝”,这严重影响了卫星图像的应用。本研究提出了一种利用外部颜色参考的光学卫星图像的新型颜色一致性方法。首先,我们改善了与卫星图像的大气分布特性相结合的暗通道脱轨方法,并用它在卫星图像上进行大气校正;其次,我们通过低频信号替换纠正了大气校正卫星图像的颜色。最后,我们使用线性模型来确定高频信号之间的关系,并通过本地建模延伸图像的高频信号。我们选择了两套实验的代表性实验数据,视觉和定量都获得了优异的结果。

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