一种基于轨道运动的红外多光谱图像配准方法及系统

By utilizing satellite orbital motion data and target detection algorithms, rapid registration of infrared multispectral images was achieved, solving the problems of algorithm complexity and high computational load in existing technologies, reducing costs and improving real-time performance.

CN115205348BActive Publication Date: 2026-07-17BEIJING INST OF CONTROL ENG

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING INST OF CONTROL ENG
Filing Date
2022-07-01
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, real-time registration algorithms for infrared multispectral images are complex and computationally intensive, making it difficult to perform autonomous real-time fire detection in orbit, and hardware acceleration methods are costly.

Method used

By utilizing real-time orbital motion data from the satellite control system and combining it with target detection and tracking algorithms, rapid registration of infrared multispectral images is achieved by calculating the linear velocity of the optical axis projected onto the Earth's surface and the angular velocity of the satellite. This includes full-image filtering, high-temperature target extraction, centroid localization, geometric feature matching, and least-squares transformation matrix calculation.

Benefits of technology

It achieves rapid and accurate registration of infrared multispectral images, reduces hardware and development costs, is suitable for image processing needs of different spectra, has strong scalability, and is easy to simulate in software and implement in hardware.

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Abstract

本发明一种基于轨道运动的红外多光谱图像配准方法及系统,包括:基于卫星上对地观测的火点检测敏感器,建立一种分时红外多光谱成像的火点检测‑跟踪模型,通过对高温敏感、低温抑制的中波红外图像进行全图滤波和高温目标提取,然后利用卫星控制系统提供的高精度轨道运动信息进行时间积分,得到中波图像与其它谱段图像之间的相对运动估计,实现图像粗配准,进而基于粗配准参数,对不同光谱图像中的高温目标进行窗口跟踪和高温目标精确定位,即可得到精确的图像配准结果。
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