藏匿在冯·卡门坑南部下方的月球质量瘤

月球着陆探测的候选着陆区域的质量异常分布,预示着对应区域发生过复杂的动力学演化过程,存在着异常丰富的物质组成。对月球的质量异常分布或重力场异常的探测是基于绕月卫星重力探测方法获取的,结合“嫦娥1号”月球探测获得的月球重力场异常模型与地形探测模型的数据,分析揭示存在于月球背面的质量瘤区域,研究结果表明：使用多次任务的数据首次证认了一个位于中尺度撞击区域,冯·卡门（Von Kármán）撞击坑的南半部和边缘的正下部的质量瘤,暂定编号CEFC04,冯·卡门撞击坑是该区域形成后,又一次大型撞击产生的。这类显著的被藏匿的中尺度月球质量瘤的发现,对探测研究月球的演化有重要意义。     

“嫦娥4号”月球背面着陆区月壳及深部结构特征

深部月壳和月幔物质结构是月球科学探测的关键问题之一。“嫦娥4号”初步将月球背面南极—艾肯（South Pole-Aitken,SPA）盆地内的冯·卡门（Von Kármán）撞击坑作为着陆点,具有重要的科学研究价值。结合月球重力、地形、布格重力、月壳厚度等地球物理数据,综合对冯·卡门撞击坑的月壳及其深部结构特征进行了分析。结果显示：冯·卡门撞击坑重复撞击到南部的冯·卡门M撞击坑上,后者的中央峰具有明显的布格正重力异常和线性的布格重力梯度特征,显示出高密度的幔部物质向上涌起;冯·卡门撞击坑极有可能穿透了该区域的整个月壳,并挖掘出了深部月幔的物质;该区域南部月壳厚度较薄小于5 km,北部平均月壳厚度在15～20 km,月壳平均密度为2 630 kg·m^-3,比背面高地月壳密度高,且平均孔隙度为9%,低于月球的平均孔隙度12%。     

月面冯·卡门撞击坑的着陆选址和科学探测目标浅析

冯·卡门（Von Kármán）撞击坑位于月球背面南极—艾肯（South Pole-Aitken,SPA）盆地中部,是中国“嫦娥4号”计划的优先级较高的探测目标。对该撞击坑的着陆和探测,有助于揭示月球形成和演化的一些关键问题,在月球科学研究中具有重大的意义。论文概要总结了冯·卡门撞击坑的研究意义和科学价值;结合LRO卫星LOLA数据、Clementine UV-VIS数据、GRAIL数据、“嫦娥2号”卫星CELMS等数据,简要分析了冯·卡门撞击坑的地形、成分、深部结构和亮?%rater are analyzed with LRO satellite LOLA data,Clementine UV-VIS data,GRAIL data,and Chang''E-2 CELMS data and their scientific meanings are also presented. Finally,combined with our results and the previous prospects about theVon Kármán crater,three candidate landing sites and the possible scientific discoveries are proposed.     

基于“嫦娥2号”CELMS数据的冯·卡门撞击坑微波辐射特性

冯·卡门（Von Kármán）撞击坑位于月球背面的SPA盆地西北部,切穿了浅层月壳,具有异常的矿物成分分布。基于微波辐射计数据的月壤微波辐射特性分析,对月球热演化和岩浆演化研究具有重要的参考价值。本研究基于“嫦娥2号”卫星微波辐射计数据,采用时角分析、双线性插值方法,生成了研究区域的亮温（T_B）图和亮温差（dT_B）图像;结合Arcgis软件,叠加地质图,并结合成分、地形图,研究了Von Kármán撞击坑微波辐射特性。研究结果表明：研究区北部出现高T_B异常,初步判定为下垫面温度较高;研究区南部出现与钛铁矿（FeO+TiO₂）含量分布相对应的亮温表现;结合研究区的微波辐射特性,重新进行了冯·卡门撞击坑地质解译;根据冯·卡门撞击坑的亮温表现,建议北部为着陆区重点选择区,其次为南部和西部。     

基于多因子综合评估的月球探测软着陆区域及最佳巡航路线分析

选择合适的软着陆区域及规划合理的巡航路线是月球探测的基础工作。以位于月球背面南极—艾肯（South Pole-Aitken,SPA）盆地内的冯·卡门（Von Kármán）撞击坑作为研究区域,综合使用多因子分析评估了月球探测的着陆区域和巡航路线。评价体系主要包括能表征着陆安全性的撞击坑的密度、撞击坑的影响区域、整个区域的平整情况、部分区域的平整情况等因子和体现科学探索意义的区域垂直结构、岩石属性和（FeO+TiO₂）含量等因子,其中科学探索的评估分析是在安全可行性的基础上进行的。结果表明：在多因子叠加分析的基础上可选择出A、B及C 3个着陆区,并通过科学研究因子分析出路线2及路线3为合适的巡航路线。本研究为月球探测器着陆和巡航路线的规划提供了科学依据,为后续的月球探测工作提供了技术支持。     

基于场理论的“嫦娥4号”着陆区亮温时空分布特征研究

“嫦娥4号”（Chang’e-4）将首次实现在月球背面软着陆,而着陆区初步定为月球背面南极–艾肯（South Pole-Aitken,SPA）盆地内的冯·卡门（Von Kármán）撞击坑。利用“嫦娥”微波辐射计穿透性强的特点,针对微波辐射亮温缺乏场分析的问题,从场观点出发利用SVD方法分析冯·卡门撞击坑的亮温时空分布特征。结果表明冯·卡门撞击坑的3 GHz昼夜亮温场和37 GHz昼夜亮温场之间存在显著的耦合模态,同时在撞击坑内的亮温变化趋势相对一致;FeO+TiO₂（FTA）含量高的区域其相关性较高,也是亮温变化的关键区域,但是其等值线密度和FTA含量没有明显相关关系,主要和月表粗糙度相关。最后通过分析冯·卡门撞击坑的亮温时空分布特征综合地形特征、地层单元和物质化学成分等因素,为Chang’e-4着陆区的选择提供了参考。     

月球主要构造特征：嫦娥一号月球影像初步研究

月球在31亿年前已基本停止地质活动,从而保留了其形成初期的信息．这些信息对于认识月球、地球乃至太阳系的形成演化具有重要意义．在已有研究成果的基础上,结合嫦娥一号探月卫星CCD影像数据,从月海穹窿、撞击坑、月岭、断裂、月坑链、月溪及月谷等方面介绍了月球主要构造形式的地质特征、形貌特征及遥感影像特征,对其成因以及所隐含的地质意义进行了分析．结果表明,嫦娥一号CCD影像信息丰富,影像清晰,利用其CCD影像数据进一步研究月球的构造现象是可行的．     

基于CELMS数据的月球东海微波辐射特性研究

根据月壤(FeO+TiO2)含量数据和"嫦娥2号"卫星CELMS数据,对月球东海地区微波辐射特性进行了研究。结果表明,在东海内部(FeO+TiO2)含量较高的地区,其正午和午夜时刻的亮温值都比较高,亮温差值也比较大,但亮温及亮温差值的分布随频率变化呈现不均匀性;Maunder撞击坑的(FeO+TiO2)含量较低,但其低频和高频亮温及亮温差值的表现正好相反;区域F(约10°S/106°W)、G(约5°S/104°W)和以(13°S/103°W)为中心的区域的微波辐射存在明显异常。这些区域的微波辐射特性对研究东海地区的形成演化过程具有重要意义。     

Luna 25确定二个候选着陆点

正Luna 25计划于2019年发射,将是首个在月球南极地区着陆的探测器,旨在研究风化层和月尘,并测绘着陆区3D地形图。俄罗斯科学院空间研究所(IKI)网站报道,俄罗斯科学院空间委员会近期召开专家会议,为月球-25(Luna 25)确定了二个月球南极地区候选着陆点。首选区位于Boguslawsky撞击坑     

冯·卡门撞击坑物质成分研究

“嫦娥4号”预计在月球背面的冯·卡门（Von Kármán）撞击坑着陆,为近距离研究月球最大和最古老的南极—艾肯（South Pole-Aitken）盆地的形成和演化提供了机会。综合利用多种光谱数据,本研究分析了冯·卡门撞击坑及其周边地区TiO₂和FeO的含量变化,以及铁镁质矿物的分布情况,并推断了其主要的岩石类型。研究结果表明：冯·卡门撞击坑内部贫TiO₂（约1.5~2.5 wt%）富FeO（约12~16 wt%）,主要岩石类型为低钛玄武岩。撞击坑以外的地层则以苏长岩质物质（低钙辉石）为主,并含有约1 wt%的TiO₂和10 wt%的FeO。此外,冯·卡门撞击坑外的南部局fFf), and infilled by low-Ti basalts. The materials outside the crater are dominated by noritic materials (Low-Ca pyroxene) with abundance of TiO₂(~1 wt%)and FeO(~10 wt%). In addition, some plagioclase-rich layers are also exposed on the southern region outside the Von Kármán crater.     

Estimation of optical maturity parameter for lunar soil characterization using Moon Mineralogy Mapper (M3)

Prolonged exposure of the microscopic outer layer of the lunar surface to the space environment leads to the maturation of the surface. Maturation can be quantified and it may be expressed in terms of optical maturity (OMAT). Optical maturity estimations are very much helpful in the identification and mapping of the major minerals present on the lunar regolith. Estimation of the maturation and mineral mapping using remote sensing techniques are achieved, by coupling spectral reflectance of the lunar surface with an optimized origin. The present work estimates the optical maturity and Ferrous oxide content of the Goldschmidt and Schrodinger craters, through the recalibration of the classical method of Lucey et al. (2000a) with an origin of (0.08, 1.18) and Moon Mineralogy Mapper (M3) data. The overall recalibration results assure that the craters are highly matured.     

Synergetic use of SAR and Thermal Infrared data to study the physical properties of the lunar surface

The surface layer of the Moon preserves vital evidences of lunar impact and cratering processes due to the absence of any Aeolian and fluvial erosion processes acting on it. By examining these evidences, which are recorded throughout the evolutionary history of the Moon, several basic aspects of lunar science can be understood, and this has direct relevance to the surfaces of other airless bodies within the solar system. In this study, rock abundance data obtained from Thermal Infrared (TIR) observations and radar Circular Polarization Ratio (CPR) data sets obtained from polarimetric SAR observations were correlated at some sample sites on the lunar surface. Preliminary results yielded qualitative and quantitative estimates for surface rock abundances. Except at distal ejecta deposits of young, bright craters a general correlation was observed between the two datasets. Mixed results were observed from the impact melt flows where the situation is complex due to the possible subsurface-volume and volume-subsurface interactions of the radar waves. But the flow features were clearly separated from the interior and ejecta regions of their parent craters in terms of CPR and rock abundances. The extent and distributions of pyroclastic deposits and dark haloed regions could not be distinctly identified at the resolution of datasets utilized. Near Gerasimovich D crater, the Diviner Radiometer has provided the first TIR observations of a newly discovered impact melt flow which was not visible in the optical imagery. This facilitated the first ever quantitative comparisons of the radar CPR and rock abundance values near such a region. Also, significant differences in spatial patterns between the radar and rock concentration data sets were observed, owing to the differences in the sensitivity of the two observations.     

Integrated method for crater detection from topography and optical images and the new PH9224GT catalogue of Phobos impact craters

In a large majority of lunar and planetary surface images, impact craters are the most abundant geological features. Therefore, it is not surprising that crater detection algorithms (CDAs) are one of the most studied subjects of image processing and analysis in lunar and planetary science. In this work we are proposing an Integrated CDA, consisting of: (1) utilization of DEM (digital elevation map)-based CDA; (2) utilization of an optical-based CDA; (3) re-projection of used datasets and crater coordinates from normal to rotated view and back; (4) correction of the brightness and contrast of a used optical image; and (5) tile generation for the optical-based CDA and an assembling of results with an elimination of multiple detections, in combination with a pyramid approach down to the resolution of the available DEM image; and (6) a final integration of the results of DEM-based and optical-based CDAs, including a removal of duplicates. The proposed CDA is applied to one specific asteroid-like body, the small Martian moon Phobos. The experimental evaluation of the proposed CDA is done by a manual verification of crater-candidates and a search for uncatalogued craters. The evaluation has shown that the proposed CDA was used successfully for cataloging Phobos craters. The major result of this paper is the PH9224GT – currently the most complete global catalogue of the 9224 Phobos craters. The possible applications of the new catalogue are: (1) age estimations for any selected location; and (2) comparison/evaluation of the different chronology and production functions for Phobos. This confirms the practical applicability of the new Integrated CDA – an additional result of this paper, which can be used in order to considerably extend the current crater catalogues.     

Exploring links between crater floor mineralogy and layered lunar crust

Floors of similar sized craters, representing material from similar depth horizons, have been studied to explore their suitability as mineralogy indicators at various depths within the lunar crust. Clementine UV–vis multispectral data was used to generate mineral abundance maps of crater floors and surroundings using a modified version of algorithm given by Pieters et al. (2001) [Pieters, C.M., Head, J.W., Gaddis, L., Jolliff, B. and Duke, M. Rock types of the south pole aitken basin and extent of basaltic volcanism, JGR (106) E11, 28001–28022, 2001.]. Substantial processing of the crater floor material due to variety of geological processes is evident in the generated maps, making straight forward interpretations difficult. However, systematic compositional trends in fresh craters on the floors of target craters seem to indicate the feasibility of such an effort.     

The first new application of the Mathematical Theory of Stochastic Processes to lunar and planetary science: Topography-Profile Diagrams of Mars

The Mathematical Statistics Theory (MST) and the Mathematical Theory of Stochastic Processes (MTSP) are different branches of the more general Mathematical Probability Theory (MPT) that can be used to investigate physical processes through mathematics. Each model of a stochastic process, according to MTSP, can provide one or more interpretations in the MST domain. A large body of work on impact crater statistics according to MST exists, showing cumulative crater frequency (N km⁻²) as a function of age (years) for some particular crater diameter. However, this is only one possible representation in the MST domain of the bombardment of the planetary surface modeled as a stochastic process according to MTSP. The idea that other representations are possible in the MST domain of the same stochastic process from MTSP has been recently presented. The importance of the approach is that each such mathematical-based interpretation can provide a large amount of new information. Coupled with MOLA data, Topography-Profile Diagrams (TPD) are one of the many examples that can provide a large amount of new information regarding the history of Mars. TPD consists of: (1) Topography-Profile Curve (TPC), which is a representation of the planet’s topography, (2) Density-of-Craters Curve (DCC), which represents density of craters, (3) Filtered-DCC (FDCC), which represents DCC filtered by a low-pass filter, included with the purpose of reducing the noise, and (4) Level-of-Substance-Over-Time Curve (LSOTC), which represents interpretation of the influence on the distribution of craters shown by FDCC. TPC uniquely corresponds to the computation of TPD, whereas DCC depends on algorithms for computing the elevation of each crater according to the topography, center coordinates, and radius of impact crater, and FDCC relies on the architecture of the custom designed low-pass filter for filtering DCC. However, all variations of DCC and FDCC, which includes the various impact crater data sets, showed a correlation among the density of craters and elevation over 70–80% of the planet surface. Additionally, if we assume that the ocean primarily caused the noted correlation, LSOTC offers a mathematical approach for estimating topographic change of the ocean’s extent over time. Accordingly, TPD is the first new practical application of MTSP to lunar and planetary sciences, showing correlation of topography to a physical process.     

Bayesian network-based extraction of lunar impact craters from optical images and DEM data

Impact craters are among the most noticeable geomorphological features on the planetary surface and yield significant information about terrain evolution and the history of the solar system. Thus, the recognition of impact craters is an important branch of modern planetary studies. Aiming at addressing problems associated with the insufficient and inaccurate detection of lunar impact craters, a decision fusion method within the Bayesian network (BN) framework is developed in this paper to handle multi-source information from both optical images and associated digital elevation model (DEM) data. First, we implement the edge-based method for efficiently searching crater candidates which are the image patches that can potentially contain impact craters. Secondly, the multi-source representations of an impact crater derived from both optical images and DEM data are proposed and constructed to quantitatively describe the two-dimensional (2D) and three-dimensional (3D) morphology, consisting of Histogram of Oriented Gradient (HOG), Histogram of Multi-scale Slope (HMS) and Histogram of Multi-scale Aspect (HMA). Finally, a BN-based framework integrates the multi-source representations of impact craters, which can provide reductant and complementary information, for distinguishing craters from non-craters. To evaluate the effectiveness and robustness of the proposed method, experiments were conducted on three lunar scenes using both orthoimages from the Lunar Reconnaissance Orbiter (LRO) and DEM data acquired by the Lunar Orbiter Laser Altimeter (LOLA). Experimental results demonstrate that integrating optical images with DEM data significantly decreases the number of false positives compared with using optical images alone, with F₁-score of 84.8% on average. Moreover, compared with other existing fusion methods, our proposed method was quite advantageous especially for the detection of small-scale craters with diameters less than 1000 m.     

New findings and appraisal of structural control on polygonal impact crater rim-geometry,a study from Mare Fecunditatis,Moon

Polygonal Impact Craters (PICs), having a distinct polygonal rim geometry, are common on terrestrial planets, their natural satellites such as Earth’s Moon and the asteroids. The straight segments of PIC-rims are arguably subparallel or oblique to existing fracture/fault planes in their vicinity, and such pre-existing structural weak planes are considered responsible for the shape of the PICs. The Mare Fecunditatis, a lunar maria, preserves mappable PICs as well as different geomorphic features like wrinkle ridges, grabens and pit crater chains which owe their origin to either compressional or extensional faulting. To understand the structural control, if any, on the PIC-rim geometry in Mare Fecunditatis, PICs, both simple and complex, and the deformational features are mapped, superposition relations between them are observed and trends are compared. The comparison between frequency of rim segment trends of the two types of PICs with wrinkle ridges, grabens and pit crater chains, and also statistical correlation between them, interestingly indicate that the wrinkle ridges and grabens are found to have negligible or no influence on the rim geometry of the PICs. Wrinkle ridges, known to be a group of the Mare Fecunditatis' oldest deformation features, are older than most of the preserved craters and are likely to have had control over the PIC shape. However, lack of correlation between the trends of wrinkle ridges and PIC rims indicates that most of the craters were formed after the fractures beneath the old wrinkle ridges ceased to act as mechanical discontinuity planes due to possible induration caused by fracture-filling through concomitant and later magma injection. The PICs dispersed throughout the maria could have avoided the influence of the grabens, the majority of which are located near the margin of the maria. Pit crater chains with possible deep roots and still/recently continued dike activities, were the only available weak planes which could influence the PIC rim shapes.     

Detection of sub-kilometer craters in high resolution planetary images using shape and texture features

Counting craters is a paramount tool of planetary analysis because it provides relative dating of planetary surfaces. Dating surfaces with high spatial resolution requires counting a very large number of small, sub-kilometer size craters. Exhaustive manual surveys of such craters over extensive regions are impractical, sparking interest in designing crater detection algorithms (CDAs). As a part of our effort to design a CDA, which is robust and practical for planetary research analysis, we propose a crater detection approach that utilizes both shape and texture features to identify efficiently sub-kilometer craters in high resolution panchromatic images. First, a mathematical morphology-based shape analysis is used to identify regions in an image that may contain craters; only those regions - crater candidates - are the subject of further processing. Second, image texture features in combination with the boosting ensemble supervised learning algorithm are used to accurately classify previously identified candidates into craters and non-craters. The design of the proposed CDA is described and its performance is evaluated using a high resolution image of Mars for which sub-kilometer craters have been manually identified. The overall detection rate of the proposed CDA is 81%, the branching factor is 0.14, and the overall quality factor is 72%. This performance is a significant improvement over the previous CDA based exclusively on the shape features. The combination of performance level and computational efficiency offered by this CDA makes it attractive for practical application.     

Application of hydrocode modelling to the study of hypervelocity impact crater morphology

In order to obtain a better understanding and model of the natural and artificial particulate environment from measurements of impact damage features on returned spacecraft materials, it is necessary to be able to determine how the size and shape of an impact feature are related to the parameters of the impacting particle. The AUTODYN-3D hydrocode has been used to study the effects of projectile density, velocity and impact angle on the depth, diameter and ellipticity of the impact craters. The results are used to determine the distributions of crater depth to crater diameter ratios and of crater ellipticities to be expected on an aluminium surface exposed to an isotropic distribution of incident particles of given densities and velocities. Comparison of these calculated distributions with those observed for craters on aluminium clamps on various faces of the Long Duration Exposure Facility shows that particles with a wide range of densities, including significant proportions both greater and smaller than that of aluminium, were responsible for these craters.