The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 19, 2026

Filed:

Jun. 30, 2021
Applicant:

Hainan University, Haikou, CN;

Inventors:

Mengxing Huang, Haikou, CN;

Qiong Chen, Haikou, CN;

Siling Feng, Haikou, CN;

Wenlong Feng, Haikou, CN;

Yu Zhang, Haikou, CN;

Di Wu, Haikou, CN;

Assignee:

HAINAN UNIVERSITY, Hainan, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/02 (2006.01); G06F 18/21 (2023.01); G06F 18/24 (2023.01); G06F 18/2413 (2023.01); G06N 3/08 (2023.01); G06N 3/126 (2023.01); G06V 20/10 (2022.01); G06V 20/13 (2022.01);
U.S. Cl.
CPC ...
G06N 7/023 (2013.01); G06F 18/217 (2023.01); G06F 18/24 (2023.01); G06F 18/24137 (2023.01); G06N 3/08 (2013.01); G06N 3/126 (2013.01); G06V 20/13 (2022.01); G06V 20/194 (2022.01);
Abstract

Provided is a remote sensing image feature discretization method based on rough-fuzzy model, comprising the following steps: listing the digital number in each band and category of a selected sample in remote sensing images, and building an image information decision table based on the digital number and category; initializing the class center of each category and the membership degree of a sample example relative to the class center; updating the class center of each category and the membership degree of the sample example relative to the class center iteratively, and obtaining the final value of the class center of each category and the final value of the membership degree; building a rough-fuzzy set, computing the mean approximation accuracy of the rough-fuzzy set, discretizing the image information decision table, evaluating the discretization results based on the mean approximation accuracy and a genetic algorithm, and selecting an optimal discretization solution.


Find Patent Forward Citations

Huang, Mengxing. (2026). Remote sensing image feature discretization method based on rough-fuzzy model (U.S. Patent No. 12632754). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12632754

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