Recreating Lunar Environments by Fusion of Multimodal Data Using Machine Learning Models

Recreating Lunar Environments by Fusion of Multimodal Data Using Machine Learning Models

The latest satellite infrastructure for data processing, transmission and reception can certainly be improved by upgrading tools used to deal with very large amounts of data from every different sensor incorporated within the space missions. In order to develop a better technique to process data, in...

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Bibliographic Details
Main Authors: Ana C. Castillo, Jesus A. Marroquin-Escobedo, Santiago Gonzalez-Irigoyen, Marlene Martinez-Santoyo, Rafaela Villalpando-Hernandez, Cesar Vargas-Rosales
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Engineering Proceedings
Subjects:
data fusion
multimodal data
machine learning
sensor fusion
lunar mission data
Online Access:https://www.mdpi.com/2673-4591/27/1/54

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