Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 157-161, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4/157/2014/
doi:10.5194/isprsarchives-XL-4-157-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
23 Apr 2014
High Precision Topographic Mapping at Chang'E-3 Landing Site with Multi-Source Data
Y. Liu, B. Liu, B. Xu, Z. Liu, K. Di, and J. Zhou State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, P.O. Box 9718, Datun Road, Chaoyang District, Beijing 100101, China
Keywords: Planetary Mapping, Multiresolution, Bundle, DEM/DTM, Orthorectification Abstract. Chang'e-3 (CE-3) is the first lander and rover of China following the success of Chang'e-1 and Chang'e-2 (CE-2) orbiters. High precision topographic mapping can provide detailed terrain information to ensure the safety of the rover as well as to support scientific investigations. In this research, multi-source data are co-registered into a uniform geographic framework for high precision topographic mapping at the CE-3 landing site. CE-2 CCD images with 7 m- and 1.5 m- resolutions are registered using selfcalibration bundle adjustment method with ground control points (GCPs) selected from LRO WAC mosaic map and LOLA DTM. The trajectory of CE-3 descent images are recovered using self-calibration free net bundle adjustment, and then the topographic data is rectified by absolute orientation with GCPs selected from the adjusted CE-2 DEM and DOM. Finally, these topographic data are integrated into the same geographic framework for unified, multi-scale, high precision mapping of the CE-3 landing site. Key technologies and the mapping products of this research have been used to support the surface operations of CE-3 mission.
Conference paper (PDF, 754 KB)


Citation: Liu, Y., Liu, B., Xu, B., Liu, Z., Di, K., and Zhou, J.: High Precision Topographic Mapping at Chang'E-3 Landing Site with Multi-Source Data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 157-161, doi:10.5194/isprsarchives-XL-4-157-2014, 2014.

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