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:
Nov. 25, 2025

Filed:

Feb. 20, 2025
Applicant:

Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, CN;

Inventors:

Guijun Yang, Beijing, CN;

Hao Yang, Beijing, CN;

Bo Xu, Beijing, CN;

Xiaodong Yang, Beijing, CN;

Haikuan Feng, Beijing, CN;

Huiling Long, Beijing, CN;

Xingang Xu, Beijing, CN;

Xiaoyu Song, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 17/86 (2020.01); G01S 17/89 (2020.01); H04N 23/13 (2023.01);
U.S. Cl.
CPC ...
G01S 17/86 (2020.01); G01S 17/89 (2013.01); H04N 23/13 (2023.01);
Abstract

This application provides an image fusion method, a hyperspectral lidar sensor, and a hyperspectral lidar system. The method includes: calibrating time of a laser scanner, a spectrometer, and an inertial measurement unit (IMU) based on time of an atomic clock of a global positioning system (GPS); controlling the laser scanner to perform scanning imaging on a detection area to obtain a three-dimensional (3D) point cloud image, and controlling the laser scanner to trigger the spectrometer to perform spectral imaging on the detection area to obtain a hyperspectral image; controlling the GPS and the IMU to perform signal collection to obtain a GPS signal and an IMU signal; and sending the 3D point cloud image, the hyperspectral image, the GPS signal, and the IMU signal to an image processing device, which fuses the 3D point cloud image and the hyperspectral image based on the GPS signal and the IMU signal.


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