公开(公告)号：US12230028B1

公开(公告)日：2025-02-18

申请号：US18814292

申请日：2024-08-23

Applicant: UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA

Inventor： Cheng Liu ,  Chengzhi Xing ,  Qihua Li ,  Wei Tan ,  Haoran Liu ,  Xiangguang Ji ,  Qihou Hu

IPC: G06V20/13 ,  G06V20/10 ,  G06V20/17

Abstract: Disclosed in the present invention is a method for whole-time space-air-ground integrated hyperspectral stereoscopic remote sensing, tracing and prediction of greenhouse/pollution gas, comprising: performing remote sensing of multi-source heterogeneous data: utilizing a hyperspectral stereoscopic remote sensing device, a hyperspectral imaging device, a hyperspectral unmanned aerial vehicle remote sensing device, a hyperspectral greenhouse gas remote sensing device based on grating light splitting and a night hyperspectral stereoscopic remote sensing device to perform the remote sensing of the multi-source heterogeneous greenhouse/pollution gas data; performing tracing and early warning of greenhouse/pollution gas components: progressively realizing tracing of greenhouse/pollution gas components at different locations based on the multi-source heterogeneous greenhouse/pollution gas data, and performing emission early warning according to a traced result; and performing stereo fusion and prediction of the multi-source heterogeneous data: performing data feature fusion based on the multi-source heterogeneous greenhouse/pollution gas data, and performing prediction of the greenhouse/pollution gas components at a future moment based on a fusion result. The system can complement the deficiencies of existing greenhouse/pollution gas monitoring and tracing technologies.