Application of Deep Learning in Lunar Volcanic Dome Identification
Author: 
Chen SunAuthors Info & Claims
Pages 47 - 51
Abstract
Lunar domes have always been one of the important windows to understand lunar volcanic activity, however traditional identification methods for geological domes are expensive, so this study attempts to establish an automatic identification method for lunar volcanic domes. Given that no previous research in this area has attempted to automate the identification of lunar volcanic domes, our team attempted to automate the process for the first time. To achieve the purpose of this research, the researchers first obtained the dome coordinates from the list of known lunar domes and intercepted the data we needed from the corresponding coordinates on the CCD and DEM moon pictures. Subsequently, the researchers screened the data to find data with more obvious features and used these data to train 9 mainstream image recognition models and compared their accuracy rates to verify the feasibility of this study. Finally, the researchers counted the mAP and AP (IoU=0.5) of the nine models and found that the highest of them could reach 0.64 (mAP) and 0.74 (AP). Therefore, this study can conclude that an automated method for identifying lunar volcanic domes should be feasible.
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Index Terms
- Application of Deep Learning in Lunar Volcanic Dome Identification
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Published In
April 2023
131 pages
ISBN:9781450399586
DOI:10.1145/3599589
Copyright © 2023 ACM.
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Published: 11 August 2023
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- Science and Technology Development Fund of Macau
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ICMIP 2023
ICMIP 2023: 2023 8th International Conference on Multimedia and Image Processing
April 21 - 23, 2023
Tianjin, China
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