Tec map prediction system and method using deep learning
AssigneeKorea Astronomy and Space Science Institute
InventorsSe-Heon JEONG, Woo Kyoung LEE, Byung-Kyu CHOI, Jeong-Heon KIM
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Abstract
The present disclosure relates to a TEC map prediction system and method using deep learning. The present disclosure relates to a technique for predicting two-dimensional TEC maps using a deep learning model, and more particularly, to a technology capable of more accurately restoring/predicting regional TEC maps with a small-scale structure to provide a precise TEC map.
Claims6
A total electron content (TEC) map prediction system using deep learning, comprising:
- a data input unit that receives externally observed TEC map image data;
- a first model processing unit that inputs the observed TEC map image data to a stored first artificial intelligence model and receives reconstructed synthetic TEC map;
- a synthesis processing unit that synthesizes the observed TEC map image data received and the reconstructed synthetic TEC map using a pre-stored image processing algorithm to generate optimized TEC map image data;
- and
- a second model processing unit that inputs the optimized TEC map image data to a stored second artificial intelligence model and receives predicted TEC map image data at predetermined time intervals from a predetermined point in time based on when the optimized TEC map image data is input.
A TEC map prediction method using deep learning by a TEC map prediction system using deep learning in which each step is performed by a computational processing unit, the TEC map prediction method using deep learning comprising:
- a data input step of receiving, by a data input unit, externally observed TEC map image data;
- a first model processing step of inputting, by a first model processing unit, the observed TEC map image data received in the data input step to a stored first artificial intelligence model, and receiving reconstructed synthetic TEC map;
- a synthesis processing step of using, by a synthesis processing unit, a pre-stored image processing algorithm to synthesize the observed TEC map image data received in the data input step and synthetic TEC map reconstructed in the first model processing step and generate optimized TEC map image data;
- and
- a second model processing step of inputting, by a second model processing unit, the optimized TEC map image data to a stored second artificial intelligence model in the synthesis processing step and receiving predicted TEC map image data at predetermined time intervals from a predetermined point in time based on when the optimized TEC map image data is input.
Dependencies are inferred from the claim text.