Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach
来自arXiv 2023-01-25 01:40:33
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Due to insufficient or difficult to obtain data on development in inaccessible regions, remote sensing data is an important tool for interested stakeholders to collect information on economic growth. To date, no studies have utilized deep learning to estimate industrial growth at the level of individual sites. In this study, we harness high-resolution panchromatic imagery to estimate development over time at 419 industrial sites in the People's Republic of China using a multi-tier computer vision framework. We present two methods for approximating development
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本文链接地址:https://flyai.com/paper_detail/15644
本文链接地址:https://flyai.com/paper_detail/15644
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