Improved line tracing methods for removal of bad streaks noise in ccd line array image—A case study with GF-1 images

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Abstract

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.

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Wang, B., Bao, J., Wang, S., Wang, H., & Sheng, Q. (2017). Improved line tracing methods for removal of bad streaks noise in ccd line array image—A case study with GF-1 images. Sensors (Switzerland), 17(4). https://doi.org/10.3390/s17040935

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