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Deep learning-based object recognition in multispectral satellite imagery for real-time applications
2021
Machine Vision and Applications
Satellite imagery is changing the way we understand and predict economic activity in the world. Advancements in satellite hardware and low-cost rocket launches have enabled near-real-time, high-resolution images covering the entire Earth. It is too labour-intensive, time-consuming and expensive for human annotators to analyse petabytes of satellite imagery manually. Current computer vision research exploring this problem still lack accuracy and prediction speed, both significantly important
doi:10.1007/s00138-021-01209-2
pmid:34177121
pmcid:PMC8217787
fatcat:fnojyyarn5gyzi7h6va5fvua7q