Fully Automatic Trace Gas Plume Detection

ArXi:2605.03372v1 Announce Type: new Future imaging spectrometers will increase data volumes by orders of magnitude, requiring automated detection of trace gas point sources. We present a fully automated framework that combines machine learning-based morphological analysis with physics-based spectroscopic fitting to detect plumes without human participation.