Deep Remote Sensing Methods for Methane Detection in Overhead Hyperspectral Imagery
IEEE Workshop/Winter Conference on Applications of Computer Vision（2020）
Key words
methane detection,atmospheric gases,greenhouse gases,amorphous gases,human errors,principled statistics,signal processing,deep neural networks,large-area hyper-spectral information,H-mrcnn processes information,match-filtering sliding windows,spectral bands,gas concentration analogs,gas detectors,natural plume mask,experience-dependent annotation process,H-mrcnn scales,gas plumes,plume representations,hyperspectral mask-RCNN,deep remote sensing,hyperspectral imagery,CH4
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