Patents by Inventor Zhanjun ZHU

Zhanjun ZHU 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).

  • Quantitative evaluation method and system for prediction result of remote sensing inversion
    Patent number: 12354303
    Abstract: The present disclosure provides a quantitative accuracy evaluation method and system for a result of remote sensing inversion. The method includes the following steps: acquiring measured data of a target element content in a preset zone; acquiring, based on acquired remote sensing image reflectivity of the preset zone, predicted data of the target element content in the preset zone by a remote sensing inversion model; and conducting comprehensive index evaluation of abnormal feature similarity between the measured data and the predicted data. The technical solution adopted in the present disclosure can solve the problem with quantitative accuracy evaluation of remote sensing inversion that inverted object content and measured object content are distributed inconsistently in space.
    Type: Grant
    Filed: November 30, 2022
    Date of Patent: July 8, 2025
    Assignees: Central South University, Hunan University of Technology and Business
    Inventors: Gong Cheng, Xiaoqing Deng, Yuying Ban, Dan Luo, Huikun Huang, Zixuan Wang, Zhanjun Zhu, Jiaxuan Li, Dongjun Wang
  • QUANTITATIVE EVALUATION METHOD AND SYSTEM FOR PREDICTION RESULT OF REMOTE SENSING INVERSION
    Publication number: 20230169681
    Abstract: The present disclosure provides a quantitative accuracy evaluation method and system for a result of remote sensing inversion. The method includes the following steps: acquiring measured data of a target element content in a preset zone; acquiring, based on acquired remote sensing image reflectivity of the preset zone, predicted data of the target element content in the preset zone by a remote sensing inversion model; and conducting comprehensive index evaluation of abnormal feature similarity between the measured data and the predicted data. The technical solution adopted in the present disclosure can solve the problem with quantitative accuracy evaluation of remote sensing inversion that inverted object content and measured object content are distributed inconsistently in space.
    Type: Application
    Filed: November 30, 2022
    Publication date: June 1, 2023
    Inventors: Gong CHENG, Xiaoqing DENG, Yuying BAN, Dan LUO, Huikun HUANG, Zixuan WANG, Zhanjun ZHU, Jiaxuan LI, Dongjun WANG