학술논문
Case Study: Two-Phase AI Prediction Techniques for Space Edge Computing
Document Type
Conference
Source
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :1873-1874 Jul, 2023
Subject
Language
ISSN
2153-7003
Abstract
With the advancements in commercial off-the-shelf (COTS) hardware [1] and software development environments for space [2] , there are growing expectations for new services that extract valuable information from observed data in space and deliver it to users in real-time through advanced AI-based data analysis. However, even with the advances in space computing technologies, there will continue to be many cases in which complete data analysis is impossible in space. Since the data collected by remote sensors, such as synthetic aperture radar and optical cameras, have high resolution and large data volume (several gigabytes per image, several hundred gigabytes per day), transmitting this data to the ground even with fast optical communication can be time-consuming.