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:
Jul. 16, 2024

Filed:

Dec. 28, 2023
Applicant:

Sun Yat-sen University, Guangdong, CN;

Inventors:

Qingsong Wang, Guangdong, CN;

Cuilin Yu, Guangdong, CN;

Haifeng Huang, Guangdong, CN;

Tao Lai, Guangdong, CN;

Assignee:

SUN YAT-SEN UNIVERSITY, Guangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 13/88 (2006.01); G01S 7/41 (2006.01); G01S 13/86 (2006.01); G06F 18/214 (2023.01); G06F 18/25 (2023.01);
U.S. Cl.
CPC ...
G01S 13/882 (2013.01); G01S 7/412 (2013.01); G01S 13/86 (2013.01); G06F 18/214 (2023.01); G06F 18/25 (2023.01);
Abstract

A multi-source elevation data fusion method including: inputting acquired optical elevation data into a trained optical elevation error prediction model to output an optical elevation error value and an optical elevation error weight map; inputting acquired radar elevation data into a trained radar elevation error prediction model to output a radar elevation error value and a radar elevation error weight map; correcting the optical elevation data based on the optical elevation error value to obtain optical elevation data to be fused; correcting the radar elevation data based on the radar elevation error value to obtain radar elevation data to be fused; performing weighted fusion on the optical elevation data to be fused and the radar elevation data to be fused based on the optical elevation error weight map and the radar elevation error weight map to obtain fused elevation data. This method efficiently enhances the accuracy of fused elevation data.


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