Patents by Inventor Xiufeng LEI

Xiufeng LEI 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).

  • Nonlinear method for area-wide near surface air temperature precision retrieval
    Patent number: 10831949
    Abstract: A novel nonlinear method for area-wide near surface air temperature precision retrieval is described. The steps include: First, construct the 1st sub-model modelVEC1 to the f-th sub-model modelVECf. Establish and normalize raw data vectors of each gridded pixel sBlkVEC in the targeted area. Calculate the retrieved full maps (surfTf) of near surface air temperatures using each sub-model. Then, identify abnormal samples and define their near-range regions in surfTf Apply a selective arithmetic mean (SAM) approach to achieve precision temperature map surfT. And finally apply further modification to the pixels of surfT where pixlf?badsurfT?f is true to all f=1, 2, 3, . . . . Using the super nonlinear algorithm, this invention provides a solution of retrieving near surface air temperature based on combinations of various factors (information fusion) to achieve satisfied prediction errors, which are independent of cloud levels and topographic characteristics.
    Type: Grant
    Filed: March 6, 2017
    Date of Patent: November 10, 2020
    Assignees: GUANGXI INSTITUTE OF METEOROLOGICAL DISASTER-REDUCING RESEARCH, DEPARTMENT OF GUANGXI FORESTRY PEST MANAGEMENT, GUANGXI FORESTRY BUREAU
    Inventors: Jianglin Qin, Xiuhao Yang, Jitong Luo, He Fu, Xiufeng Lei, Jun Wei, Yuanrui Qin, Zixin Yang
  • NOVEL NONLINEAR METHOD FOR AREA-WIDE NEAR SURFACE AIR TEMPERATURE PRECISION RETRIEVAL
    Publication number: 20190057171
    Abstract: A novel nonlinear method for area-wide near surface air temperature precision retrieval is described. The steps include: First, construct the 1st sub-model modelVEC1 to the f-th sub-model modelVECf. Establish and normalize raw data vectors of each gridded pixel sBlkVEC in the targeted area. Calculate the retrieved full maps (surfTf) of near surface air temperatures using each sub-model. Then, identify abnormal samples and define their near-range regions in surfTf Apply a selective arithmetic mean (SAM) approach to achieve precision temperature map surfT. And finally apply further modification to the pixels of surfT where pixlf?badsurfT?f is true to all f=1, 2, 3, . . . . Using the super nonlinear algorithm, this invention provides a solution of retrieving near surface air temperature based on combinations of various factors (information fusion) to achieve satisfied prediction errors, which are independent of cloud levels and topographic characteristics.
    Type: Application
    Filed: March 6, 2017
    Publication date: February 21, 2019
    Inventors: Jianglin QIN, Xiuhao YANG, Jitong LUO, He FU, Xiufeng LEI, Jun WEI, Yuanrui QIN, Zixin YANG