P004
Machine Learning for Planetary Science II Posters

Monday, 7 December 2020: 04:00-20:59
Poster
Primary Convener:  Hannah Rae Kerner, University of Maryland College Park, Geography, College Park, MD, United States
Conveners:  Klaus-Michael Aye, University of Colorado at Boulder, Laboratory for Atmosphere and Space Physics, Boulder, CO, United States, Mario D'Amore, German Aerospace Center DLR Berlin, Berlin, Germany, Jörn Helbert, DLR, Berlin, Germany and Hannah Rae Kerner, University of Maryland College Park, Geography, College Park, MD, United States
Primary Liaison:  Hannah Rae Kerner, University of Maryland College Park, Geography, College Park, MD, United States
Chairs:  Abigail Azari, Space Sciences Laboratory, University of California Berkeley, Berkeley, CA, United States and Klaus-Michael Aye, University of Colorado at Boulder, Laboratory for Atmosphere and Space Physics, Boulder, CO, United States
OSPA Liaison:  Hannah Rae Kerner, University of Maryland College Park, Geography, College Park, MD, United States
 
Automated crater detection with human level performance. (716324)
Christopher Lee and James Hogan, University of Toronto, Physics, Toronto, ON, Canada
 
CNN-based Automatic Identification of Rock Particles on Small Bodies (713545)
Yuta Shimizu1, Ryodo Hemmi2 and Hideaki Miyamoto1, (1)University of Tokyo, Bunkyo-ku, Japan, (2)University Museum, University of Tokyo, Tokyo, Japan
 
Deep convolutional neural network approaches for the super-resolution of bathymetric maps (715608)
Mitsuko Hidaka1, Daisuke Matsuoka1, Tatsu Kuwatani1, Yukari Nakasa Kido1, Junji Kaneko1, Takafumi Kasaya1, Eiichi Kikawa1,2 and Yoichi Ishikawa1, (1)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, (2)IDEA Consultants, Inc., Tokyo, Japan
 
Deep Learning Applied to Lunar Crater Counting (671481)
Haingja Seo1, Sang Min Park2, Mijeong Kim3 and Myungjin Choi2, (1)InSpace Co., Ltd., Taejon-City, Korea, Republic of (South), (2)InSpace Co., Ltd., Daejeon, South Korea, (3)InSpace Co.,Ltd., Daejeon, South Korea
 
Deep Learning classifier for planetary seismicity detection (697906)
Francesco Civilini, NASA Marshall Space Flight Center, Huntsville, AL, United States and Renee C Weber, NASA/NSSTC, Huntsville, AL, United States
 
Detecting Clouds in Mars Orbiter Laser Altimeter/Mars Global Surveyor Data with K-Means Methods (727418)
Vincent Caillé1, Anni Elisa Määttänen1, Aymeric Spiga2, Lola Falletti1 and Gregory A Neumann3, (1)LATMOS, UVSQ Paris-Saclay, CNRS, Paris, France, Paris Cedex 05, France, (2)LMD/IPSL, Sorbonne Université, Paris, France - Institut Universitaire de France, France, Palaiseau Cedex, France, (3)NASA Goddard Space Flight Center, Greenbelt, Maryland, USA, Greenbelt, MD, United States
 
Evaluation of Machine Learning Methodologies for Novelty-based Target Selection in Planetary Imaging Data Sets: Examples from the Mars Science Laboratory Mission (682256)
Favour Nerrise1, Hannah Rae Kerner2, Kiri Wagstaff3, Steven Lu4, Raymond Francis3, Umaa Rebbapragada5 and James F Bell III6, (1)University of Maryland, College Park, College Park, MD, United States, (2)University of Maryland College Park, Geography, College Park, MD, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)Jet Propulsion Laboratory, Machine Learning and Instrument Autonomy, Pasadena, CA, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (6)Arizona State University, Tempe, AZ, United States
 
Investigating Machine Learning as a Basis for Asteroid Taxonomies in the 3-Micron Spectral Region (748096)
Matthew Richardson, Planetary Science Institute Tucson, Tucson, AZ, United States, Andrew Rivkin, Applied Physics Laboratory Johns Hopkins, Laurel, MD, United States, Amanda Sickafoose, South African Astronomical Observatory (SAAO), Cape Town, South Africa and Ellen S Howell, University of Arizona, Lunar and Planetary Laboratory, Tucson, United States
 
LiDAR Data Classification Using Machine Learning Methods (744632)
Mayank Sharma1, Rahul Dev Garg2, Vladimir Badenko3, Alexandre Fedotov3, Chandra Shekhar Prasad Ojha4, Min Liu5 and Ada Yao6, (1)Indian Institute of Technology Roorkee, Roorkee, India, (2)Professor, Indian Institute of Technology, Roorkee, Geomatics Engineering, Civil Engineering, Roorkee, India, (3)Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, (4)Indian Institute of Technology (IIT) Roorkee, Civil Engineering, Roorkee, India, (5)East China Normal University, Key Laboratory of Geographic Information Sciences, Ministry of Education, School of Geographic Sciences, Shanghai, China, (6)East China Normal University, Shanghai, China
 
Machine Learning Algorithms for Orbit Region Classification: A Case-Study from Cassini (729445)
Kiley Yeakel1, Jon Duane Vandegriff1, Caitriona Mary Jackman2, Tadhg Garton2,3, Peter Kollmann1, Sarah K. Vines1, Andrew William Smith4 and George B Clark1, (1)Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States, (2)Dublin Institute for Advanced Studies, Dublin, Ireland, (3)University of Southampton, Southampton, SO14, United Kingdom, (4)Mullard Space Science Laboratory, Dorking, RH5, United Kingdom
 
Machine Learning and Deep Learning Predictor Models in Estimation of the Thermal State of a Planetary Mantle (697519)
M Hosein Shahnas and Russell Pysklywec, University of Toronto, Department of Earth Sciences, Toronto, ON, Canada
 
MISSIONS NEED MAPS: TOWARDS A GLOBAL CRATER DATABASE FOR MARS AND THE MOON AT ULTIMATE RESOLUTION. (667826)
Anthony Lagain1, Konstantinos Servis2, Gretchen K Benedix3, Christopher Norman3, John Fairweather4 and Phil Bland3, (1)Space Science and Technology Centre, Curtin University, Perth, WA, Australia, (2)CSIRO - Pawsey Supercomputing Centre, Kensington, Australia, (3)Space and Technology Centre, Curtin University, Perth, WA, Australia, (4)Space and Technology Centre, Perth, WA, Australia
 
Novelty and Discovery Content Analysis Methods for the Planetary Data System Image Atlas (673380)
Paul Horton1, Sanjna Ravichandar2, Jake Lee3, Hannah Rae Kerner4, Anil Natha3, Tariq K Soliman3, Kevin Grimes3, Kiri Wagstaff3, Rishi Verma3 and James McAuley3, (1)Arizona State University, School of Earth and Space Exploration, Tempe, AZ, United States, (2)Massachusetts Institute of Technology, Electrical Engineering & Computer Science, Cambridge, MA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)University of Maryland College Park, Geography, College Park, MD, United States
 
Self-Organizing Maps for identification of zeolitic diagenesis patterns in closed hydrologic systems: implications for Mars. (703403)
Gayantha Roshana Loku Kodikara, University of Wisconsin Milwaukee, Milwaukee, WI, United States and Lindsay J McHenry, U. Wisconsin- Milwaukee, Milwaukee, WI, United States
 
Towards Science Autonomy: Applying Machine Learning Methods to ExoMars Mission’s Search for Life (694382)
Eric Lyness, NASA Goddard Space Flight Center, Washington, DC, United States, Victoria DA Poian, Southeastern Research Universities Associates, Greenbelt, MD, United States, Melissa G Trainer, NASA Goddard Space Flight Center, Greenbelt, MD, United States, William B Brinckerhoff, NASA, Greenbelt, MD, United States and Ryan Danell, Danell Consulting, Winterville, NC, United States
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