折反射系统
气体泄漏
甲烷
计算机科学
温室气体
计算机视觉
计算
人工智能
立体成像
立体摄像机
计算机立体视觉
环境科学
实时计算
遥感
光学
物理
化学
地质学
算法
有机化学
镜头(地质)
海洋学
作者
Johannes Rangel,Robert Schmoll,Andreas Kroll
标识
DOI:10.1109/jsen.2020.3042116
摘要
The need for reducing greenhouse gas emissions from industrial facilities has motivated the development of new and more reliable techniques for gas leak localization and quantification. Optical gas imaging (OGI) systems offer a fast and intuitive approach by exploiting the absorption properties of gases, such as methane, in the infrared range. Based on this, several efforts have been made in the recent years for gaining additional quantitative information from the measurement data, e.g. gas concentration or gas velocity. In this work, a catadioptric stereo OGI system based on four planar mirrors and an OGI camera is proposed for computing spatio-temporal (also referred to as scene flow) information from stereo gas images. The proposed system represents a way to reduce the effects of temporal and radiometric differences and the cost and size of two-camera-based stereo OGI systems and leads to more reliable results under the tested conditions.
科研通智能强力驱动
Strongly Powered by AbleSci AI