光学卫星图像的自适应条纹噪声去除算法

2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) Pub Date : 2019-10-01 DOI:10.1109/ICARES.2019.8914344

Kamirul, P. R. Hakim, W. Hasbi

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引用次数: 2

摘要

本文描述了现有的基于统计的条纹噪声去除的改进版本，旨在恢复噪声图像而不破坏图像的结构。利用LAPAN-A2微卫星图像对该算法进行了验证。通过对校正后的图像的研究，证实了该算法比现有算法能给出令人满意的结果。实验还发现，该算法的性能比现有算法提高10.21%。结果表明，该算法可以作为数据处理工具，用于解决特定成像系统中存在的条纹噪声干扰。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Adaptive Stripe Noise Removal Algorithm for Optical Satellite Imagery

This paper describes a modified version of existing statistical-based stripe noise removal designed to recover noisy images without devastating the structure of the image. The proposed algorithm has been tested by using LAPAN-A2 microsatellite imagery. Based on the investigation of corrected images, it is confirmed that the proposed algorithm was capable of giving a satisfying result than that of the existing one. It is also found that the performance of the proposed algorithm is 10.21% better than that of the existing algorithm. This result indicates that the proposed algorithm can be used as data processing tool to address the stripe noise disturbance existed on particular imaging system.

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2019 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)

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