Patents by Inventor Haiyuan YAO

Haiyuan YAO 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).

  • Patent number: 10325151
    Abstract: A method of extracting an image of a port wharf through multispectral interpretation includes: first, extracting a blurred coastline by assigning values to grayscale values; then, performing a smoothing and noise removal processing on a remote sensing image in a targeted area to extract edge information; sequentially, establishing a multispectral database of a targeted port wharf; and extracting a port wharf using a projected eigenvector, performing an MAF transformation on the regularized kernel function again, projecting multivariate observed values to original eigenvectors, and identifying a remote sensing image area corresponding to the original eigenvector smaller than a transformation variance as a port wharf to be extracted, and then carrying out a validation operation.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: June 18, 2019
    Assignee: TRANSPORT PLANNING AND RESEARCH INSTITUTE MINISTRY OF TRANSPORT
    Inventors: Yue Qi, Yaping Mao, Yun Feng, Jun Hao, Jun Huang, Hanbing Sun, Yi Yang, Wentao Ding, Haiyuan Yao, Chen Shen
  • Publication number: 20190171862
    Abstract: A method of extracting an image of a port wharf through multispectral interpretation includes: first, extracting a blurred coastline by assigning values to grayscale values; then, performing a smoothing and noise removal processing on a remote sensing image in a targeted area to extract edge information; sequentially, establishing a multi spectral database of a targeted port wharf; and extracting a port wharf using a projected eigenvector, performing an MAF transformation on the regularized kernel function again, projecting multivariate observed values to original eigenvectors, and identifying a remote sensing image area corresponding to the original eigenvector smaller than a transformation variance as a port wharf to be extracted, and then carrying out a validation operation.
    Type: Application
    Filed: November 30, 2018
    Publication date: June 6, 2019
    Applicant: Transport Planning and Research Institute Ministry of Transport
    Inventors: Yue QI, Yaping MAO, Yun FENG, Jun HAO, Jun HUANG, Hanbing SUN, Yi YANG, Wentao DING, Haiyuan YAO, Chen SHEN