The Mars Reconnaissance Orbiter (MRO) spacecraft has been in orbit around Mars since March 2006. The Context Camera (CTX) on MRO has returned over 100,000 images of the planet at approximately 5-6 meters per pixel, providing nearly global coverage. During that time, Mars has gone through nearly 7 of its own years, changing solar distance from 1.38 to 1.67 AU and the corresponding solar flux by 45% due to its orbital eccentricity. Seasonal effects and transient phenomena affect atmospheric transparency. Combined with an aging detector, CTX images are difficult to mosaic seamlessly, for all of these changes prevent equalizing images to create a visually smoothly illuminated product. We have developed a method, based on previous work by other researchers for other datasets, to mitigate almost all photometric variations between images in order to create the appearance of an evenly illuminated, practically seamless mosaic. We describe how the process works, which uses a reference source to tie brightness values, and demonstrate its effects across Mars' surface. While the workflow developed for this product is applicable to other planetary bodies, it requires a reference source, which may not yet exist.
MRO/CRISM Retrieval of Surface Lambert Albedos for Multispectral Mapping of Mars with DISORT-based Rad. Transfer Modeling: Phase 1 - Using Historical Climatology for Temperatures, Aerosol Opacities, & Atmo. Pressures
The Cyborg Astrobiologist: Testing a Novelty-Detection Algorithm on Two Mobile Exploration Systems at Rivas Vaciamadrid in Spain and at the Mars Desert Research Station in Utah
Freie Univ. Berlin(柏林自由大学);Centro de Astrobiología (CSIC/INTA)(天体生物学中心(西班牙国家研究委员会/西班牙航空航天技术研究所));McDonnell Center for the Space Sciences, Washington Univ.(华盛顿大学麦克唐纳空间科学中心);Univ. Malta(马耳他大学);Univ. Málaga(马拉加大学);ESTEC(欧洲空间研究与技术中心);Geological Survey of Spain (IGME)(西班牙地质调查局);Technische Fakultät, Univ. Bielefeld(比勒费尔德大学工程学院);IfG - Institute for Scientific Instruments GmbH(IfG科学仪器有限公司);Univ. Chicago(芝加哥大学)
在以前的工作中,已经开发了两个平台来测试机器人行星探索的计算机视觉算法(McGuire等人,2004 b,2005; Bartolo等人,2007)。可穿戴计算机平台已在西班牙的地质和天体生物学现场(Rivas Vaciamadrid和Riba de Euste)进行了测试,手机相机已在马耳他的地质现场进行了测试。在这项工作中,我们(i)应用Hopfield神经网络算法进行基于颜色的新颖性检测,(ii)在可穿戴计算机平台上集成一个现场数字显微镜,(iii)在Rivas Vaciamadrid使用数字显微镜测试这种新颖性检测,(iv)为手机相机平台开发蓝牙通信模式,以便允许访问现场的移动处理计算机,以及(v)在犹他州的火星沙漠研究站测试连接到上网本计算机的具有蓝牙功能的手机摄像头上的新奇检测。这种系统工程和现场测试一起使我们能够开发一种实时计算机视觉系统,该系统能够在半干旱沙漠环境中获得的一系列图像中识别地衣。我们获得了犹他州和西班牙地质露头的图像序列,包括各种岩石类型和颜色,以测试该算法。该算法通过颜色鲁棒地识别先前观察到的单元,同时只需要单个图像或几个图像就可以将颜色学习为熟悉的颜色,这证明了其快速学习能力。
High-Precision Photometry with a scientific CMOS Camera: II On-Sky Testing of the Marana camera at the NGTS facility
University of Warwick(华威大学);Queen’s University Belfast(贝尔法斯特女王大学);Andor Technology Ltd(安多技术有限公司);Universidad Católica del Norte(北方天主教大学);University of Leicester(莱斯特大学);Universidad Diego Portales(迭戈·波特莱斯大学)
The photometric system of the One-meter Telescope at Weihai Observatory of Shandong University
山东大学威海天文台的一米望远镜是f/8卡塞格伦望远镜。三套滤光片,包括Johnson--UBVRI、Sloan Digital Sky Survey u $'$ g $'$ r $'$ i $'$ z $'$和Strömgren uvby,安装在双层滤光轮中。介绍了测光系统和CCD相机,详细分析了它们的性能,并确定了相关参数,包括CCD相机的增益、读出噪声、暗电流和线性度。此外,根据2007年9月至2013年8月收集的数据,系统地研究了该站点的天文气候条件特征,包括典型视宁度、晴朗夜晚统计和平均天空亮度,并在本工作中报告。利用8个夜晚的Landolt标准星观测数据进行了光度定标,得到了转换系数、光度精度和系统吞吐量。使用导出的校准参数和世界卫生组织的经典观测条件模拟了极限星等。
Automated Shape-Model-Based Astrometry of Phobos from Mars Express SRC Images
Jinan University(暨南大学);Sino-French Joint Laboratory for Astrometry, Dynamics and Space Science, Jinan University(暨南大学中法天体力学与空间科学联合实验室);Shanghai Astronomical Observatory, Chinese Academy of Sciences(中国科学院上海天文台);Institute for Advanced Study, Shenzhen University(深圳大学高等研究院);School of Computer Science, Northwestern Polytechnical University(西北工业大学计算机学院)
Analysing high resolution digital Mars images using machine learning
Luleå University of Technology(吕勒奥理工大学);Wigner RCP(维格纳研究中心);Konkoly Thege Miklos Astronomical Institute(科诺利·泰格·米克洛什天文研究所);Research Centre for Astronomy and Earth Sciences(天文与地球科学研究中心);ELTE Institute of Physics(厄特沃什·罗兰大学物理研究所);CSFK, MTA Centre of Excellence(匈牙利科学院卓越中心CSFK)