Volume 38 Issue 2
Mar.  2018
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PU Junyu, ZHENG Yong, CHEN Shaojie, LI Chonghui, WANG Dingwei, HE Donghan. Geocentric Position Extraction Algorithm for Earth Sensor Image of Lunar Roverormalsize[J]. Journal of Space Science, 2018, 38(2): 239-248. doi: 10.11728/cjss2018.02.239
Citation: PU Junyu, ZHENG Yong, CHEN Shaojie, LI Chonghui, WANG Dingwei, HE Donghan. Geocentric Position Extraction Algorithm for Earth Sensor Image of Lunar Roverormalsize[J]. Journal of Space Science, 2018, 38(2): 239-248. doi: 10.11728/cjss2018.02.239

Geocentric Position Extraction Algorithm for Earth Sensor Image of Lunar Roverormalsize

doi: 10.11728/cjss2018.02.239
  • Received Date: 2017-04-02
  • Rev Recd Date: 2017-10-09
  • Publish Date: 2018-03-15
  • The Earth is the largest visible celestial body on the moon, whose range of motion on the celestial sphere is small. Moreover, it has no phenomenon of rise and set. When lunar rover is exploring on the moon surface facing toward the Earth, the Earth sensor can be used to photograph the Earth, thus achieving long term autonomous celestial navigation. Geocentric position extraction algorithm for Earth image is one of the key techniques of celestial navigation using Earth sensor, which directly determines the precision of the sensor.In this paper, the Earth imaging law is analyzed by studying the projection model of Earth sensor lens. An algorithm for extracting the geocentric position of the Earth sensor image free from Earth phase change is presented. Two steps are proposed to realize full screening of the real edge of the Earth, including semi search method and cyclic search method, and then geocentric position can be fitted. The semi-physical simulation experiments show that the algorithm can effectively extract geocentric positions for different phase images and it earns the external average accuracy of 9.78"~16.68". Under the circumstance of random change of experimental conditions, the maximum difference of standard deviations of external accuracy exceeds no more than 0.98".

     

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