Patents by Inventor Hongda HU

Hongda HU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Spatial autocorrelation machine learning-based downscaling method and system of satellite precipitation data
    Patent number: 11333796
    Abstract: A spatial autocorrelation machine learning-based downscaling method of satellite precipitation data includes obtaining the TRMM precipitation data and the land surface parameters; preprocessing the land surface parameters to obtain DEM, day land surface temperature, night surface land temperature, day-and-night land surface temperature difference and NDVI with spatial resolutions of 1 km and 25 km; performing a spatial autocorrelation analysis of the TRMM precipitation data to obtain an estimated spatial autocorrelation value of the precipitation data with a spatial resolution of 25 km; downscaling the spatial resolution of the spatial autocorrelation value of the precipitation data from 25 km to 1 km; establishing a nonlinear regression model; obtaining a precipitation downscaling data with a spatial resolution of 1 km based on the nonlinear regression model. A system and a terminal are also provided.
    Type: Grant
    Filed: August 6, 2020
    Date of Patent: May 17, 2022
    Assignees: GUANGZHOU INSTITUTE OF GEOGRAPHY, GUANGDONG ACADEMY OF SCIENCES, GUANGDONG METEOROLOGICAL OBSERVATION DATA CENTER
    Inventors: Jianhui Xu, Huihua Ruan, Ji Yang, Hongda Hu, Kaiwen Zhong, Chenghu Zhou
  • SPATIAL AUTOCORRELATION MACHINE LEARNING-BASED DOWNSCALING METHOD AND SYSTEM OF SATELLITE PRECIPITATION DATA
    Publication number: 20220043182
    Abstract: A spatial autocorrelation machine learning-based downscaling method of satellite precipitation data includes obtaining the TRMM precipitation data and the land surface parameters; preprocessing the land surface parameters to obtain DEM, day land surface temperature, night surface land temperature, day-and-night land surface temperature difference and NDVI with spatial resolutions of 1 km (0.621 miles) and 25 km (15.534 miles); performing a spatial autocorrelation analysis of the TRMM precipitation data to obtain an estimated spatial autocorrelation value of the precipitation data with a spatial resolution of 25 km (15.534 miles); downscaling the spatial resolution of the spatial autocorrelation value of the precipitation data from 25 km (15.534 miles) to 1 km (0.621 miles); establishing a nonlinear regression model; obtaining a precipitation downscaling data with a spatial resolution of 1 km (0.621 miles) based on the nonlinear regression model. A system and a terminal are also provided.
    Type: Application
    Filed: August 6, 2020
    Publication date: February 10, 2022
    Inventors: Jianhui XU, Huihua RUAN, Ji YANG, Hongda HU, Kaiwen ZHONG, Chenghu ZHOU