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  • American Society for Photogrammetry and Remote Sensing  (4)
  • Geography  (4)
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  • American Society for Photogrammetry and Remote Sensing  (4)
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  • Geography  (4)
RVK
  • 1
    Online Resource
    Online Resource
    American Society for Photogrammetry and Remote Sensing ; 2019
    In:  Photogrammetric Engineering & Remote Sensing Vol. 85, No. 7 ( 2019-07-01), p. 481-491
    In: Photogrammetric Engineering & Remote Sensing, American Society for Photogrammetry and Remote Sensing, Vol. 85, No. 7 ( 2019-07-01), p. 481-491
    Abstract: The Chang'e-5 mission of China is planned to be launched in 2019 to the landing area near Mons Rümker located in Oceanus Procellarum. Aiming to generate a high-resolution and high-quality digital orthophoto map (DOM) of the planned landing area for supporting the mission and various scientific analyses, this study developed a systematic and effective method for large-area seamless DOM production. The mapping results of the Chang'e-5 landing area using over 700 Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC) images are presented. The resultant seamless DOM has a resolution of 1.5 m, covers a large area of 20° in longitude and 4° in latitude, and is tied to SLDEM2015. The results demonstrate that the proposed method can reduce the geometric inconsistencies among the LROC NAC images to the subpixel level and the positional errors with respect to the reference digital elevation model to about one grid cell size.
    Type of Medium: Online Resource
    ISSN: 0099-1112
    RVK:
    Language: English
    Publisher: American Society for Photogrammetry and Remote Sensing
    Publication Date: 2019
    detail.hit.zdb_id: 2317128-5
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    American Society for Photogrammetry and Remote Sensing ; 2020
    In:  Photogrammetric Engineering & Remote Sensing Vol. 86, No. 3 ( 2020-03-01), p. 169-176
    In: Photogrammetric Engineering & Remote Sensing, American Society for Photogrammetry and Remote Sensing, Vol. 86, No. 3 ( 2020-03-01), p. 169-176
    Abstract: The stereo vision system is the special engineering measurement instrument of the Chang'e-4 lunar rover. It is composed of the Navigation Camera (NavCam) and the Mast Mechanism (MasMec). An improved self-calibration method for the stereo vision system of the Chang'e-4 lunar rover is proposed. The method consists of two parts: the NavCam's self-calibration and the MasMec's self-calibration. A combined adjustment based on the points and lines is proposed. The baseline constraint of the NavCam is considered. The self-calibration model of the MasMec is established b ased on the product-of-exponentials formula. Finally, the premission laboratory calibration and the on-site calibration are carried out. The laboratory calibration shows that the proposed approach has high accuracy. The checkpoint with a distance of about 2.7 m to the left NavCam has a point error of about 4 mm. Finally, the proposed approach is applied in the on-site calibration.
    Type of Medium: Online Resource
    ISSN: 0099-1112
    RVK:
    Language: English
    Publisher: American Society for Photogrammetry and Remote Sensing
    Publication Date: 2020
    detail.hit.zdb_id: 2317128-5
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    American Society for Photogrammetry and Remote Sensing ; 2003
    In:  Photogrammetric Engineering & Remote Sensing Vol. 69, No. 4 ( 2003-04-01), p. 351-355
    In: Photogrammetric Engineering & Remote Sensing, American Society for Photogrammetry and Remote Sensing, Vol. 69, No. 4 ( 2003-04-01), p. 351-355
    Type of Medium: Online Resource
    ISSN: 0099-1112
    RVK:
    Language: English
    Publisher: American Society for Photogrammetry and Remote Sensing
    Publication Date: 2003
    detail.hit.zdb_id: 2317128-5
    Location Call Number Limitation Availability
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  • 4
    Online Resource
    Online Resource
    American Society for Photogrammetry and Remote Sensing ; 2021
    In:  Photogrammetric Engineering & Remote Sensing Vol. 87, No. 8 ( 2021-08-01), p. 567-576
    In: Photogrammetric Engineering & Remote Sensing, American Society for Photogrammetry and Remote Sensing, Vol. 87, No. 8 ( 2021-08-01), p. 567-576
    Abstract: In a planetary-rover exploration mission, stereovision-based 3D reconstruction has been widely applied to topographic mapping of the planetary surface using stereo cameras onboard the rover. In this study, we propose an enhanced topographic mapping method based on multiple stereo images taken at the same rover location with changing illumination conditions. Key steps of the method include dense matching of stereo images, 3D point-cloud generation, point-cloud co-registration, and fusion. The final point cloud has more complete coverage and more details of the terrain than that conventionally generated from a single stereo pair. The effectiveness of the proposed method is verified by experiments using the Yutu-2 rover, in which two data sets were acquired by the navigation cameras at two locations and under changing illumination conditions. This method, which does not involve complex operations, has great potential for application in planetary-rover and lander missions.
    Type of Medium: Online Resource
    ISSN: 0099-1112
    RVK:
    Language: English
    Publisher: American Society for Photogrammetry and Remote Sensing
    Publication Date: 2021
    detail.hit.zdb_id: 2317128-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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