• Spacecraft Recovery & Remote Sensing
  • Vol. 45, Issue 4, 109 (2024)
Yi SHI1,2, Zhihua MAO1,2,*, Yiwei ZHANG3, Haiqing HUANG2, and Qiankun ZHU2
Author Affiliations
  • 1School of Oceanography, Zhejiang University, Zhoushan 316000, China
  • 2State Key Laboratory of Satellite Marine Environmental Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
  • 3Polar Deep Sea Technology Research Institute, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
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    DOI: 10.3969/j.issn.1009-8518.2024.04.012 Cite this Article
    Yi SHI, Zhihua MAO, Yiwei ZHANG, Haiqing HUANG, Qiankun ZHU. In-Orbit Geolocation of HY-1 C/D Coastal Zone Imager[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(4): 109 Copy Citation Text show less
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    Fig. 11. [in Chinese]
    光谱相机1相机2
    CCD2CCD1CCD2CCD1
    B41~54505450~11~54505450~1
    B35450~11~54505450~11~5450
    B21~54505450~11~54505450~1
    B15450~11~54505450~11~5450
    Table 1. Correspondence between the order of each CCD pixel and the ground scenery (ascending)
    景号卫星获取时间(UTC)中心经纬度
    1HY-1C2020-10-19T02:16:29129.1768°E,28.8682°N
    2HY-1C2020-10-27T13:19:3160.9440°W,66.0729°S
    4HY-1C2022-07-28T08:36:3999.9324°E,81.2368°N
    3HY-1D2023-05-19T05:56:31109.5551°E,18.1228°N
    5HY-1D2023-06-24T06:01:47105.7310°E,32.3894°N
    6HY-1D2022-07-18T05:29:45109.5179°E,46.6381°N
    Table 2. General parameters of each image
    景号卫星最小误差/像元最大误差/像元平均误差/像元
    1HY-1C(0, 0)(0.089 6, 0.253 2)(0.023 3, 0.059 2)
    2HY-1C(0, 0)(0.537 4, 0.346 5)(0.086 2, 0.092 8)
    4HY-1C(0, 0)(2.016 1, 0.470 8)(0.671 3, 0.123 7)
    3HY-1D(0, 0)(0.833 1, 0.991 1)(0.536 9, 0.605 5)
    5HY-1D(0, 0)(0.983 1, 1.151 7)(0.632 4, 0.667 8)
    6HY-1D(0, 0)(1.153 0, 1.302 1)(0.755 1, 0.729 9)
    Table 3. Minimum error, maximum error and average error of longitude and latitude for each image
    Yi SHI, Zhihua MAO, Yiwei ZHANG, Haiqing HUANG, Qiankun ZHU. In-Orbit Geolocation of HY-1 C/D Coastal Zone Imager[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(4): 109
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