Patents by Inventor Hongzhan SUN

Hongzhan SUN 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).

  • Semi-supervised automatic marking method and device for ground-object in hyperspectral image
    Patent number: 10984238
    Abstract: The embodiment of the present invention provides a semi-supervised automatic marking method for spartina alterniflora in a hyperspectral image. According to the semi-supervised automatic marking method for spartina alterniflora in a hyperspectral image provided by the present invention, based on the dimensionality reduction on 108-dimensional data of 18 wave bands, unsupervised clustering is performed by the fast clustering algorithm based on the local density, and then the clustering result is matched with a marked spartina alterniflora data set, so that completely automatic marking of the data is realized, and automatic marking for spartina alterniflora is realized. The embodiment of the present invention also provides a semi-supervised automatic marking device for spartina alterniflora in a hyperspectral image. Through the technical scheme provided by the embodiment of the present invention, recognition and marking for spartina alterniflora can be realized accurately and effectively.
    Type: Grant
    Filed: January 15, 2020
    Date of Patent: April 20, 2021
    Assignee: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA)
    Inventors: Xin Liu, Yuqiang Sun, Guangbo Ren, Yabin Hu, Hongzhan Sun
  • SEMI-SUPERVISED AUTOMATIC MARKING METHOD AND DEVICE FOR GROUND-OBJECT IN HYPERSPECTRAL IMAGE
    Publication number: 20200327325
    Abstract: The embodiment of the present invention provides a semi-supervised automatic marking method for spartina alterniflora in a hyperspectral image. According to the semi-supervised automatic marking method for spartina alterniflora in a hyperspectral image provided by the present invention, based on the dimensionality reduction on 108-dimensional data of 18 wave bands, unsupervised clustering is performed by the fast clustering algorithm based on the local density, and then the clustering result is matched with a marked spartina alterniflora data set, so that completely automatic marking of the data is realized, and automatic marking for spartina alterniflora is realized. The embodiment of the present invention also provides a semi-supervised automatic marking device for spartina alterniflora in a hyperspectral image. Through the technical scheme provided by the embodiment of the present invention, recognition and marking for spartina alterniflora can be realized accurately and effectively.
    Type: Application
    Filed: January 15, 2020
    Publication date: October 15, 2020
    Inventors: Xin LIU, Yuqiang SUN, Guangbo REN, Yabin HU, Hongzhan SUN