New results and questions of lunar exploration from SELENE, Chang’E-1, Chandrayaan-1 and LRO/LCROSS

Jin, Shuanggen; Arivazhagan, S.; Araki, Hiroshi

doi:10.1016/j.asr.2012.11.022

Cited by 54 publications

(19 citation statements)

References 92 publications

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“…Impact craters have natural properties on target surface, which are related to the impact craters' history and evolution processes as well as landing site selection [12], [13]. Recognitions of impact craters have revealed lots of findings [4], [6], [7], [10].…”

Section: Introductionmentioning

confidence: 98%

Automatic recognition of Martian craters based on MOLA-derived digital topography

Jin

Zhang

2013

2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA)

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The recognition of impact craters can provide information on impact craters' history and Martian evolution processes as well as for Martian rover landing site. Most previous studies about machine detection of impact craters on Mars are based on imagery data, however, it has large uncertainty in image processing. In this study, we present a novel approach for automatic recognition of impact craters based on the Mars Orbiter Laser Altimeter (MOLA)-derived digital topography data. Topographic curvature, which delineates impact crater on Digital Elevation Model (DEM), can be deduced from topography data. The thresholding map of curvature is transformed into a binary map, from which we can detect impact craters by combination of segmentation and flooding algorithms. More impact craters on Mars with confirmation algorithm can be effectively distinguished truly, which are added the existing catalog of manually identified Martian craters. It will be more useful for the study on impact craters' history and Martian evolution processes as well as Martian rover landing navigation.

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Section: Introductionmentioning

confidence: 98%

Automatic recognition of Martian craters based on MOLA-derived digital topography

Jin

Zhang

2013

2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA)

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“…Recently, research has increased focus on space missions in cislunar space, eg, lunar exploration, either unmanned or manned lunar missions, and cislunar space stations, such as a gateway station linking the Earth and deep space . In the literature, the LiAISON (Linked Autonomous Interplanetary Satellite Orbit Navigation) technique has provided an appealing approach for achieving or enhancing autonomous navigation of spacecraft in cislunar space .…”

Section: Introductionmentioning

confidence: 99%

Joint navigation performance of distant retrograde orbits and cislunar orbits via LiAISON considering dynamic and clock model errors

2019

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Distant retrograde orbits (DROs) in cislunar space offer a promising option for providing navigation services to satellites in the Earth-Moon system due to their long-term orbital stability and unique three-body orbital dynamics. The Linked Autonomous Interplanetary Satellite Orbit Navigation (LiAISON) technique is used to process the satellite-to-satellite tracking (SST) range measurements between a DRO satellite and another satellite in cislunar space to determine their absolute orbital states. The paper evaluates the navigation performances of the LiAISON, which are subject to dynamic model errors and satellite-borne clock errors. The clock models are presented, with a specific emphasis on modeling the non-Gaussian stochastic noise time series that are consistent with the clock instability. Comprehensive simulation results show that the SST system is observable. The DRO and Earth-orbit or lunar-orbit can obtain position accuracies of 100 m and several meters, respectively, and time synchronization accuracy is better than 100 ns. The Earth-Moon transfer orbit is less observable due to its long-orbital period that results in poor measurement geometry.

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“…The second lunar exploration mission of Japan, SELENE, was launched in 2007 to study the origin and the evolution of the Moon. [1] In the same year, the first Chinese lunar orbiter, Chang'e-1, was launched in Xichang with a Long March 3A carrier rocket, as the first lunar probe of Chinese Lunar Exploration Program (CLEP). [2] The first Indian unmanned lunar probe, Chandrayaan-1, was launched in 2008.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Lunar Cranes and Some Inspiration from the Perspective of Earth Crane Technology

Gao

et al. 2019

2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)

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New results and questions of lunar exploration from SELENE, Chang’E-1, Chandrayaan-1 and LRO/LCROSS

Cited by 54 publications

References 92 publications

Automatic recognition of Martian craters based on MOLA-derived digital topography

Automatic recognition of Martian craters based on MOLA-derived digital topography

Joint navigation performance of distant retrograde orbits and cislunar orbits via LiAISON considering dynamic and clock model errors

A Survey of Lunar Cranes and Some Inspiration from the Perspective of Earth Crane Technology

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