An Initiative for Construction of New-Generation Lunar Global Control Network Using Multi-Mission Data

Di, Kaichang; Liu, B.; Peng, Man; Xin, Xiaozhou; Jia, Minghao; Ping, Jinsong; Wu, Bo; Oberst, J.

doi:10.5194/isprs-archives-xlii-3-w1-29-2017

Cited by 7 publications

(9 citation statements)

References 26 publications

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“…The RFM has the advantages of simple and uniform form, and imaging sensor independence. It is particularly convenient in combined photogrammetric processing of images from multi-missions (Di et al, 2017).…”

Section: Geometric Modelling Of Lunar Imagesmentioning

confidence: 99%

“…First, considerable positioning and elevation discrepancies exist among the mapping products from different missions, or even from the same mission, causing difficulties for synergistic use of the multiple products. This calls for a new high accuracy control network and co-registration techniques for large data sets from multiple missions (Archinalet al, 2006(Archinalet al, , 2007Kirk et al, 2012;Di et al, 2017).…”

Section: Future Prospectsmentioning

confidence: 99%

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Topographic Mapping of the Moon in the 21st Century: From Hectometer to Millimeter Scales

Oberst

Karachevtseva

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This paper presents a review of lunar topographic mapping in the two decades of the 21st century, including descriptions of lunar exploration missions, relevant payloads and data, mapping techniques, as well as global and regional mapping products. Various lunar photogrammetric mapping techniques such as construction of geometric models of lunar orbital images, block adjustments, shape from shading, co-registration of lunar orbital image and elevation data have been developed to process lunar orbital images and generate mapping products. Global topographic products at hectometer and decameter scales have been produced from orbital images and/or laser altimeter data. Regional topographic maps of the landing sites and other sites of interest have been generated at meter-scale using the sub-meter to meter resolution orbital images. Detailed local topographic products at centimeter to millimeter scales of the landing sites and rover traverse areas have been produced using descent images acquired by the landers and stereo images acquired by the rovers. These multiple-scale topographic mapping products have been extensively used to support various science applications, as well as engineering applications such as surface operations of the rovers.

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Section: Geometric Modelling Of Lunar Imagesmentioning

confidence: 99%

Section: Future Prospectsmentioning

confidence: 99%

Topographic Mapping of the Moon in the 21st Century: From Hectometer to Millimeter Scales

Oberst

Karachevtseva

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

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“…The solution root mean square is 0.9 pixels, corresponding to 100 m-300 m on the lunar surface [40]. The accuracy of next generation networks may reach 20 m at the resultant tie points [41]. For topography, the Lunar Reconnaissance Orbiter (LRO) Lunar Orbiter Laser Altimeter (LOLA) Digital Elevation Model (DEM) represents more than 6.5 billion measurements, and the average accuracy of each point after crossover correction is better than 20 m horizontally and approximately 1 m radially [42].…”

Section: Model Accuracymentioning

confidence: 99%

“…m-300 m on the lunar surface [40]. The accuracy of next generation networks may reach 20 m at the resultant tie points [41]. For topography, the Lunar Reconnaissance Orbiter (LRO) Lunar…”

Section: Model Accuracymentioning

confidence: 99%

Constructing a High-Accuracy Geometric Model for Moon-Based Earth Observation

et al. 2019

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The Moon provides us with a long-term, stable, and unique place for Earth observation. Space agencies of various countries, including the United States, China, and Italy, have made the realization of Moon-based Earth observation an objective of their lunar missions. To date, although some conceptual studies have been presented, an accurate geometric model for Moon-based Earth observation has not yet been described. This paper introduces such a geometric model, whichconnects the attitude of a Moon-based sensor with a corresponding field of view on the Earth’s surface. The aberration and light time correction are involved. Due to the lack of high-qualityexperimental data, one qualitative comparison with Chang’E lander images and another quantitative comparison with software output are made. The comparison results show good similarity. The overallmodel accuracy is evaluated to be better than 400 at current stage and will be better than 1.500 if the seleno-graphic position is accurately determined. In direct geolocation process, the aberration and light time will cause a total 0.7 km deviation on the ground near the sublunar point. In SAR range history simulation, the light time eect will lead to a linear error, as large as tens of meters, throughoutthe integration time.

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“…So far, there are only five lunar laser ranging retro reflectors (LRRRs) that can be used to determine the absolute position accurately on the Moon. The widely used Unified Lunar Control Network 2005 (ULCN2005) has a horizontal accuracy of a hundred meters to a few hundred meters and a vertical accuracy of 100 m [15,16], which is inappropriate as a reference for evaluating the recently produced DEM products [17]. At present, studies on geometric quality evaluation of lunar DEMs are mainly based on the elevation differences between the DEM and an available high-precision DEM.…”

Section: Introductionmentioning

confidence: 99%

Geometric Quality Assessment of Chang’E-2 Global DEM Product

Xin

Liu

et al. 2020

Remote Sensing

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The Chang’E-2 digital elevation model (DEM, named CE2TMap2015), which is the highest resolution DEM product in China, was released with global coverage of the lunar surface. A detailed geometric quality assessment of the product is desirable for wider applications by users. A novel procedure for evaluating DEM geometric quality, which investigates both the global geometric uncertainty and local gross errors, is proposed in this paper. First, the DEM was divided into regular blocks and matched with the reference DEM. Then, the characteristics of errors were investigated using the statistical information of the matched tie points. Next, the local outlier factor (LOF) algorithm was performed to locate the gross errors. In our experiment, CE2TMap2015 was evaluated using the proposed method, with SLDEM2015 as the reference DEM. The results show that there were widespread geometric inconsistencies with an area-weighted average of 183.1 m horizontally (with the standard deviation being 101.2 m) and 2.3 m vertically (with the standard deviation being 15.4 m). Gross errors were detected automatically and were excluded in the statistical analysis. The periodic errors were extracted in the frequency domain using a Fourier transform. Our research results provide instructional information for the utilization of CE2TMap2015 by world-wide users. The proposed method can be used in the assessment of other planetary DEMs.

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An Initiative for Construction of New-Generation Lunar Global Control Network Using Multi-Mission Data

Cited by 7 publications

References 26 publications

Topographic Mapping of the Moon in the 21st Century: From Hectometer to Millimeter Scales

Topographic Mapping of the Moon in the 21st Century: From Hectometer to Millimeter Scales

Constructing a High-Accuracy Geometric Model for Moon-Based Earth Observation

Geometric Quality Assessment of Chang’E-2 Global DEM Product

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