Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning-Reference-Cited by-同舟云学术

Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning

Published:2023-03-04 Issue: Volume: Page:
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Container-title:2023 IEEE Aerospace Conference
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Author:

Nixon Conor A.¹,Yahn Zachary²,Duncan Ethan³,Neidel Ian⁴,Mills Alyssa C.⁵,Seignovert Benoît⁶,Larsen Andrew⁷,Gansler Kathryn⁸,Liles Charles⁹,Walker Catherine C.¹⁰,Trent Douglas M.¹¹,Santerre John³

Affiliation:

1. NASA Goddard Space Flight Center,Planetary Systems Laboratory,Greenbelt,MD,20771

2. University of Virginia,Computer Science Department,Charlottesville,VA,22904

3. School of Information, University of California, Berkeley,Berkeley,CA,94720

4. Yale University, Timothy Dwight College,New Haven,CT,06511-8238

5. Baylor University,Geosciences Department,Waco,TX,76798-7354

6. Nantes Université Laboratoire De Planétologie Et Géosciences,Nantes,France,44300

7. Business Intelligence Division Inntopia,Stowe,VT,05672

8. University of Maryland,Department of Geology,College Park,MD,20742

9. NASA Langley Research Center, Center Operations Directorate,Virginia,23666

10. Woods Hole Oceanographic Institution,Department of Applied Ocean, Physics and Engineering,Massachusetts,02543

11. SAIC | East-2 NASA Langley Research Center,OCIO Information, Data & Analytics Services,Virginia,23666

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115529/10115530/10115556.pdf?arnumber=10115556

Reference60 articles.

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2. Titan's cold case files - Outstanding questions after Cassini-Huygens

3. Cassini Imaging Science: Instrument Characteristics And Anticipated Scientific Investigations At Saturn

4. Rapid and Extensive Surface Changes Near Titan’s Equator: Evidence of April Showers

5. Automated Detection Of The Above Anvil Cirrus Plume Severe Storm Signature With Deep Learning;liles;“NASA Technical Reports Server ”,2020

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