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Improved Line Tracing Methods for Removal of Bad Streaks Noise in CCD Line Array Image—A Case Study with GF-1 Images

机译:消除线阵图像中不良条纹噪声的改进线跟踪方法-以GF-1图像为例

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摘要

Remote sensing images could provide us with tremendous quantities of large-scale information. Noise artifacts (stripes), however, made the images inappropriate for vitalization and batch process. An effective restoration method would make images ready for further analysis. In this paper, a new method is proposed to correct the stripes and bad abnormal pixels in charge-coupled device (CCD) linear array images. The method involved a line tracing method, limiting the location of noise to a rectangular region, and corrected abnormal pixels with the Lagrange polynomial algorithm. The proposed detection and restoration method were applied to Gaofen-1 satellite (GF-1) images, and the performance of this method was evaluated by omission ratio and false detection ratio, which reached 0.6% and 0%, respectively. This method saved 55.9% of the time, compared with traditional method.
机译:遥感图像可以为我们提供大量的大规模信息。但是,噪声伪像(条纹)使图像不适合进行活化和批处理。有效的恢复方法可以使图像准备好进行进一步的分析。本文提出了一种新的方法来校正电荷耦合器件(CCD)线性阵列图像中的条纹和不良的异常像素。该方法涉及线跟踪法,将噪声的位置限制在矩形区域,并使用拉格朗日多项式算法校正异常像素。将提出的检测和恢复方法应用于高分一号卫星(GF-1)图像,并通过漏检率和误检率分别达到0.6%和0%来评估该方法的性能。与传统方法相比,此方法节省了55.9%的时间。

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