Open-source data alternatives for regenerating urban road fine-grained features

Kai Denga Anhui Province Key Laboratory of Physical Geographic Environment, Chuzhou University, Chuzhou, China;b Anhui Engineering Laboratory of Geo-information Smart Sensing and Services, Chuzhou University, Chuzhou, China;c School of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaCorrespondence[email protected]
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Mingwei Zhaoa Anhui Province Key Laboratory of Physical Geographic Environment, Chuzhou University, Chuzhou, China;b Anhui Engineering Laboratory of Geo-information Smart Sensing and Services, Chuzhou University, Chuzhou, China;c School of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaView further author information

Cancan Yanga Anhui Province Key Laboratory of Physical Geographic Environment, Chuzhou University, Chuzhou, China;b Anhui Engineering Laboratory of Geo-information Smart Sensing and Services, Chuzhou University, Chuzhou, China;c School of Geographic Information and Tourism, Chuzhou University, Chuzhou, China;d State Forestry and Grassland Administration Key Laboratory of Forest Resources & Environmental Management, Beijing Forestry University, Beijing, ChinaView further author information

Weitao Lia Anhui Province Key Laboratory of Physical Geographic Environment, Chuzhou University, Chuzhou, China;b Anhui Engineering Laboratory of Geo-information Smart Sensing and Services, Chuzhou University, Chuzhou, China;c School of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaView further author information

Open-source data alternatives for regenerating urban road fine-grained features

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Open-source data alternatives for regenerating urban road fine-grained features

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