Optimizing Contrail Detection: A Deep Learning Approach with EfficientNet-b4 Encoding

arXiv:2404.14441v1 Announce Type: cross
Abstract: In the pursuit of environmental sustainability, the aviation industry faces the challenge of minimizing its ecological footprint. Among the key solutions is contrail avoidance, targeting the linear ice-crystal clouds produced by aircraft exhaust. These contrails exacerbate global warming by trapping atmospheric heat, necessitating precise segmentation and comprehensive analysis of contrail images to gauge their environmental impact. However, this segmentation task is complex due to the varying appearances of contrails under different atmospheric conditions and potential …

abstract aircraft arxiv aviation aviation industry challenge cs.cv cs.lg deep learning detection eess.iv encoding environmental environmental sustainability global global warming heat ice industry key linear segmentation solutions sustainability targeting the key type