US 11,816,554 B2
Method and apparatus for generating weather data based on machine learning
Yeji Choi, Daejeon (KR)
Assigned to SI ANALYTICS CO., LTD., Daejeon (KR)
Appl. No. 18/012,297
Filed by SI Analytics Co., Ltd., Daejeon (KR)
PCT Filed Jun. 15, 2021, PCT No. PCT/KR2021/007447
§ 371(c)(1), (2) Date Dec. 22, 2022,
PCT Pub. No. WO2021/261825, PCT Pub. Date Dec. 30, 2021.
Claims priority of application No. 10-2020-0078029 (KR), filed on Jun. 25, 2020.
Prior Publication US 2023/0267303 A1, Aug. 24, 2023
Int. Cl. G01W 1/00 (2006.01); G06N 3/044 (2023.01)
CPC G06N 3/044 (2023.01) [G01W 1/00 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A computing device for generating weather observation data, the computing device comprising:
a memory including computer executable components; and
a processor executing following computer executable components stored in the memory,
wherein the computer executable components include:
an initial ground weather observation data recognition component recognizing observed initial ground weather observation data,
a weather data generation component trained to generate weather data of a gap region on the initial ground weather observation data by using a machine learning module,
wherein the weather data generation component is a component trained to generate non-missing data based on a plurality of non-missing ground weather observation data and artificial missing ground observation data generated by using the non-missing ground weather observation data by creating a missing region corresponding to the observation gap region,
wherein the non-missing ground weather observation data is generated by applying missing region weather estimation data generated by using relational data describing relationship between the satellite weather observation data for the missing region, and at least one of the land surface characteristic data or land surface type data, based on the initial ground weather observation data;
wherein the missing region is a region in which the weather data are not measured among the initial ground weather observation data.