Topographic and Geomorphological Mapping and Analysis of the Chang'E-4 Landing Site on the Far Side of the Moon

Wu, Bo; Li, Fēi; Hu, Han; Zhao, Yang; Wang, Yiran; Xiao, Peipei; Li, Yuan; Liu, Wai Chung; Chen, Long; Ge, Xuming; Yang, Mei; Xu, Yiwen; Ye, Qing; Wu, Xingyang; Zhang, He

doi:10.14358/pers.86.4.247

Cited by 27 publications

(31 citation statements)

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“…At the Chang'e-3 and Chang'e-4 lading sites, topographic mapping and analyses have been done at meter to millimeter scales using orbital, descent and rover-based images before launch, after landing and during surface operations Wu et al, 2014aWu et al, , 2020Di et al, 2019aDi et al, , 2020. For example, a 4.5 m-resolution DTM and a 1.5 m-resolution DOM of the Chang'e-3 landing site were generated using the 1.5 mresolution stereo images acquired by Chang'e-2 and used to support topographic analysis of the landing site.…”

Section: Regional and Local Mapping Productsmentioning

confidence: 99%

“…For example, the topographic mapping products from orbital images are the bases for morphological analyses of lunar landforms, and are critical to support lunar geologic studies. Meanwhile, high-resolution orbital mapping products are particularly important to support landing site evaluation for a lander/rover mission, and also valuable to support lander localization, science target designation, path planning and rover localization (Wu et al, 2014a(Wu et al, , 2020Liu et al, 2015Di et al, 2019aDi et al, , 2020.…”

Section: Introductionmentioning

confidence: 99%

“…It was launched on 8 December 2018. With the support of the Queqiao (Magpie Bridge) relay satellite, CE-4 successfully landed on the far side of the moon in Von Ká rmá n crater on 3 January 2019 (Di et al, 2019b;Wu et al, 2020). The Yutu-2 rover was successfully released from the lander and began surface exploration on the same day.…”

Section: Introductionmentioning

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: Regional and Local Mapping Productsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…The generation of a lunar crater catalogue requires more automated methods of crater detection, as it involves a large number of datasets. A machine-learning approach for automatic crater detection based on DEMs has been developed based on our previous works (Wang et al, 2018;Wang and Wu, 2020). First, a feature descriptor based on the histogram of oriented gradient (HOG; Dalal and Triggs, 2005) was designed for describing the elevation changes of crater areas and extracting features for machine learning.…”

Section: Machine Learning For Crater Detection Based On Lunar Demsmentioning

confidence: 99%

A New Global Catalogue of Lunar Craters (≥1 Km) With 3d Information and Preliminary Results of Global Analysis

Wang

2020

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

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Abstract. Impact craters are the predominant geomorphological features on the lunar surface. They can be studied to infer the ages of the lunar surfaces, the generation processes of the geological units, and the sequences of its geological events. Lunar crater-related research is dependent on crater records, which are usually stored in the form of crater catalogues. In the past, various efforts have been dedicated to generating global lunar crater catalogues. All published global catalogues, however, either contain only relatively large craters or lack 3D morphological information. This paper first presents approaches for automatic crater detection and the extraction of crater morphological information. The approaches have been performed on the lunar global datasets, e.g., digital elevation models (DEMs) and images, resulting in a global catalogue of lunar craters. To guarantee the reliability of the crater detection results, intensive manual-checking processes have been performed to improve the correctness and completeness of the catalogue. The generated global catalogue contains entries on 1.31 million lunar craters. It extends the existing global catalogues to craters with diameters &geq;1 km and enriched with 3D morphological information of craters. Global analyses of craters were conducted based on the newly generated catalogue, including the analysis of crater density and depth-to-diameter ratio. We re-examined the previously observed distributions and patterns to show its fidelity and further explored other global relationships, which have not been discovered in previous research. The results updated the clues on impact cratering process and terrain differences. The developed global catalogue of lunar craters can be utilised for different applications by the research community, and the relevant research will help to enrich the literature and facilitate the advancement of crater-related planetary science.

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“…Three-dimensional (3D) reconstruction is used to reconstruct 3D models of objects; these include digital elevation models (DEMs) of terrain surfaces, which are critical for planetary science and engineering research such as landing-site selection [1][2][3], geomorphological research [4], morphometric analyses [5,6], and geological studies [7]. Existing DEMs of the Martian surface include the Mars Orbiter Laser Altimeter (MOLA) DEM [8], which is generated by laser altimetry, and photogrammetry-based DEMs based on images from the High-Resolution Stereo Camera (HRSC) DEMs [9], context camera (CTX) DEMs [10], and the High-Resolution Imaging Science Experiment (HiRISE) DEMs [11].…”

Section: Introductionmentioning

confidence: 99%

Mars3DNet: CNN-Based High-Resolution 3D Reconstruction of the Martian Surface from Single Images

Chen

Liu

2021

Remote Sensing

Self Cite

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Three-dimensional (3D) surface models, e.g., digital elevation models (DEMs), are important for planetary exploration missions and scientific research. Current DEMs of the Martian surface are mainly generated by laser altimetry or photogrammetry, which have respective limitations. Laser altimetry cannot produce high-resolution DEMs; photogrammetry requires stereo images, but high-resolution stereo images of Mars are rare. An alternative is the convolutional neural network (CNN) technique, which implicitly learns features by assigning corresponding inputs and outputs. In recent years, CNNs have exhibited promising performance in the 3D reconstruction of close-range scenes. In this paper, we present a CNN-based algorithm that is capable of generating DEMs from single images; the DEMs have the same resolutions as the input images. An existing low-resolution DEM is used to provide global information. Synthetic and real data, including context camera (CTX) images and DEMs from stereo High-Resolution Imaging Science Experiment (HiRISE) images, are used as training data. The performance of the proposed method is evaluated using single CTX images of representative landforms on Mars, and the generated DEMs are compared with those obtained from stereo HiRISE images. The experimental results show promising performance of the proposed method. The topographic details are well reconstructed, and the geometric accuracies achieve root-mean-square error (RMSE) values ranging from 2.1 m to 12.2 m (approximately 0.5 to 2 pixels in the image space). The experimental results show that the proposed CNN-based method has great potential for 3D surface reconstruction in planetary applications.

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Topographic and Geomorphological Mapping and Analysis of the Chang'E-4 Landing Site on the Far Side of the Moon

Cited by 27 publications

References 1 publication

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

A New Global Catalogue of Lunar Craters (≥1 Km) With 3d Information and Preliminary Results of Global Analysis

Mars3DNet: CNN-Based High-Resolution 3D Reconstruction of the Martian Surface from Single Images

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