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A High-accuracy Extraction Algorithm of Planet Centroid Image in Deep-space Autonomous Optical Navigation

发布日期:2016-11-30 15:59:20 阅读次数:[1600]次 作者:

核心提示:来源出版物: JOURNAL OF NAVIGATION

作者: Du, SL (Du, Siliang); Wang, M (Wang, Mi); Chen, X (Chen, Xiao); Fang, SH (Fang, Shenghui); Su, HB (Su, Hongbo) 
来源出版物: JOURNAL OF NAVIGATION  卷: 69  期: 4  页: 828-844  DOI: 10.1017/S0373463315000910  出版年: JUL 2016
摘要: A planet centroid is an important observable object in autonomous optical navigation. A high-accuracy algorithm is presented to extract the planet centroid from its raw image. First, we proposed a planet segmentation algorithm to segment the planet image block to eliminate noise and to reduce the computation load. Second, we developed an effective algorithm based on Prewitt-Zernike moments to detect sub-pixel real edges by determining possible edges with the Prewitt operator, removing pseudo-edges in backlit shady areas, and relocating real edges to a sub-pixel accuracy in the Zernike moments. Third, we proposed an elliptical model to fit sub-pixel edge points. Finally, we verified the performance of this algorithm against real images from the Cassini-Huygens mission and against synthetic simulated images. Simulation results showed that the accuracy of the planet centroid is up to 03 pixels and that of the line-of-sight vector is at 21 x 10(-5) rad.


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