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Chaoxiang Chen, Shiping Ye, Zhican Bai, Juan Wang, Alexander Nedzved and Sergey Ablameyko
With the acceleration of urbanization, climate problems affecting human health and safe operation of cities have intensified, such as heat island effect, haze, and acid rain. Using high-resolution remote sensing mapping image data to design scientific an...
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Wenzhuo Zhang, Mingyang Yu, Xiaoxian Chen, Fangliang Zhou, Jie Ren, Haiqing Xu and Shuai Xu
Deep learning technology, such as fully convolutional networks (FCNs), have shown competitive performance in the automatic extraction of buildings from high-resolution aerial images (HRAIs). However, there are problems of over-segmentation and internal c...
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Jia Yang, Xiaopeng Li, Lei Luo, Lewen Zhao, Juan Wei and Teng Ma
Recently, multirotor UAVs have been widely used in high-precision terrain mapping, cadastral surveys and other fields due to their low cost, flexibility, and high efficiency. Indirect georeferencing of ground control points (GCPs) is often required to ob...
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Xingguo Zhang, Xinyu Shi, Xiaoyue Luo, Yinping Sun and Yingdi Zhou
Previous VideoGIS integration methods mostly used geographic homography mapping. However, the related processing techniques were mainly for independent cameras and the software architecture was C/S, resulting in large deviations in geographic video mappi...
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Qiang Chen, Cuiping Zhong, Changfeng Jing, Yuanyuan Li, Beilei Cao and Qianhao Cheng
In order to achieve the United Nations 2030 Sustainable Development Goals (SDGs) related to green spaces, monitoring dynamic urban green spaces (UGSs) in cities around the world is crucial. Continuous dynamic UGS mapping is challenged by large computatio...
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