While optical gas imaging (OGI) is indispensable for visualizing subtle and diffuse invisible hydrocarbon gas plumes, accurately identifying leaks from single, static infrared frames is often compromised by the inherent limitations of single-channel data and the complexity of industrial backgrounds. Full video processing can capture essential plume motion; however, its significant computational overhead typically prohibits real-time deployment and misinterprets non-gas-related movements as a gas leak within the scene. This paper introduces “channel stacking,” a novel, efficient methodology that transforms critical temporal gas‑motion dynamics into robust spatial features.
OGI in Emissions Detection
OGI offers a noninvasive means of visualizing fugitive gas emissions invisible to the naked eye. However, traditional OGI surveys rely heavily on manual interpretation by trained technicians.
