光学学报, 2019, 39 (3): 0315006, 网络出版: 2019-05-10  

于动态序列噪声模板的主动式像素传感器星图去噪方法

Stellar Image Denoising Method for Active Pixel Sensor Based on Dynamic Sequential Noise Template
作者单位
1 国家测绘地理信息局卫星测绘应用中心, 北京 100048
2 辽宁工程技术大学测绘与地理科学学院, 辽宁 阜新 123000
摘要
提出了一种基于动态序列噪声模板的主动式像素传感器(APS)星图去噪方法。该方法利用短时静态背景噪声与随机噪声阈值构建动态序列噪声模板,实现了对APS星图数据的去噪处理。以ZY-3卫星的APS原始星图作为实验数据进行研究,结果表明所提方法能很好地剔除条带和边缘噪声。与传统去噪处理方法相比,所提方法的星图质心提取精度提升了约12.98″;与全局阈值分割法相比,所提方法的星图质心提取精度提升了约2.16″;与静态背景噪声方法相比,所提方法的星图质心提取精度提升了约9.64″。这充分表明所提方法可有效提升APS恒星质心定位精度,适用于事后姿态处理。
Abstract
A stellar image denoising method for active pixel sensor (APS) based on dynamic sequential noise template is proposed. In this method, a dynamic sequential noise template is constructed based on the short-term static background noise and the random noise threshold, which is used to realize the denoising treatment of APS stellar images. The original APS stellar image of the ZY-3 is used as the test data and the research results show that the proposed method can eliminate strip and edge noises very well. Compared with the traditional denoising method, the proposed method can improve the extraction accuracy of the stellar image centroid by approximately 12.98″. Compared with the global threshold segmentation method, the proposed method can improve the extraction accuracy by about 2.16″. Compared with the static background noise method, the proposed method can improve the extraction accuracy by around 9.64″. These fully indicate that the proposed method can effectively improve the positioning accuracy of APS stellar centroid and can be used in attitude post-processing.

谢俊峰, 朱红, 李品, 莫凡, 李响. 于动态序列噪声模板的主动式像素传感器星图去噪方法[J]. 光学学报, 2019, 39(3): 0315006. Junfeng Xie, Hong Zhu, Pin Li, Fan Mo, Xiang Li. Stellar Image Denoising Method for Active Pixel Sensor Based on Dynamic Sequential Noise Template[J]. Acta Optica Sinica, 2019, 39(3): 0315006.

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