Detection of gas plumes in cluttered environments using long-waveinfrared hyperspectral sensors

摘要

Long-wave infrared hyperspectral sensors provide the ability to detect gas plumes at stand-off distances. A number ofdetection algorithms have been developed for such applications, but in situations where the gas is released in a complexbackground and is at air temperature, these detectors can generate a considerable amount of false alarms. To makematters more difficult, the gas tends to have non-uniform concentrations throughout the plume making it spatially similarto the false alarms. Simple post-processing using median filters can remove a number of the false alarms, but at the costof removing a significant amount of the gas plume as well. We approach the problem using an adaptive subpixel detectorand morphological processing techniques. The adaptive subpixel detection algorithm is able to detect the gas plumeagainst the complex background. We then use morphological processing techniques to isolate the gas plume whilesimultaneously rejecting nearly all false alarms. Results will be demonstrated on a set of ground-based long-waveinfrared hyperspectral image sequences.