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Xiaoqin Xue, Chao Ren, Anchao Yin, Ying Zhou, Yuanyuan Liu, Cong Ding and Jiakai Lu
In the domain of remote sensing research, the extraction of roads from high-resolution imagery remains a formidable challenge. In this paper, we introduce an advanced architecture called PCCAU-Net, which integrates Pyramid Pathway Input, CoordConv convol...
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Jingxue Wang, Xiao Dong and Guangwei Liu
The accuracy of point cloud processing results is greatly dependent on the determination of the voxel size and shape during the point cloud voxelization process. Previous studies predominantly set voxel sizes based on point cloud density or the size of g...
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Lin Yang, Jing Wei, Zejun Zuo and Shunping Zhou
Community roads are crucial to community navigation. There are automatic methods to obtain community roads using trajectories, but the sparsity and uneven density distribution of community trajectories present significant challenges in identifying commun...
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Calimanut-Ionut Cira, Martin Kada, Miguel-Ángel Manso-Callejo, Ramón Alcarria and Borja Bordel Sanchez
The road surface area extraction task is generally carried out via semantic segmentation over remotely-sensed imagery. However, this supervised learning task is often costly as it requires remote sensing images labelled at the pixel level, and the result...
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Shenming Qu, Huafei Zhou, Bo Zhang and Shengbin Liang
Extracting roads from remote sensing images can support a range of geo-information applications. However, it is challenging due to factors such as the complex distribution of ground objects and occlusion of buildings, trees, shadows, etc. Pixel-wise clas...
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Kaili Yang, Weihong Cui, Shu Shi, Yu Liu, Yuanjin Li and Mengyu Ge
Road network extraction plays a critical role in data updating, urban development, and decision support. To improve the efficiency of labeling road datasets and addressing the problems of traditional methods of manually extracting road networks from high...
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Banqiao Chen, Chibiao Ding, Wenjuan Ren and Guangluan Xu
High-quality digital road maps are essential prerequisites of location-based services and smart city applications. The massive and accessible GPS trajectory data generated by mobile GPS devices provide a new means through which to generate maps. However,...
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Tamara Alshaikhli, Wen Liu and Yoshihisa Maruyama
The extraction of roads and centerlines from aerial imagery is considered an important topic because it contributes to different fields, such as urban planning, transportation engineering, and disaster mitigation. Many researchers have studied this topic...
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Hai Tan, Zimo Shen and Jiguang Dai
The extraction of road information from high-resolution remotely-sensed images has important application value in many fields. Rural roads have the characteristics of relatively narrow widths and diversified pavement materials; these characteristics can ...
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Kai Zhou, Yan Xie, Zhan Gao, Fang Miao and Lei Zhang
Road semantic segmentation is unique and difficult. Road extraction from remote sensing imagery often produce fragmented road segments leading to road network disconnection due to the occlusion of trees, buildings, shadows, cloud, etc. In this paper, we ...
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Jing Li, Yong Liu, Yindan Zhang and Yang Zhang
The use of very-high-resolution images to extract urban, suburban and rural roads has important application value. However, it is still a problem to effectively extract the road area occluded by roadside tree canopy or high-rise buildings to maintain the...
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Yunfei Zhang, Zexu Zhang, Jincai Huang, Tingting She, Min Deng, Hongchao Fan, Peng Xu and Xingshen Deng
With the rapid development of urban traffic, accurate and up-to-date road maps are in crucial demand for daily human life and urban traffic control. Recently, with the emergence of crowdsourced mapping, a surge in academic attention has been paid to gene...
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Shiying She, Haoyu Zhong, Zhixiang Fang, Meng Zheng and Yan Zhou
Urban roads are the lifeline of urban transportation and satisfy the commuting and travel needs of citizens. Following the acceleration of urbanization and the frequent extreme weather in recent years, urban waterlogging is occurring more than usual in s...
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Daigang Li, Junhan Li and Juntao Li
Many studies have utilized global navigation satellite system (such as global positioning system (GPS)) trajectories in order to successfully infer road networks because such data can reveal the geometry and development of a road network, can be obtained...
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Chairath Sirirattanapol, Masahiko NAGAI, Apichon Witayangkurn, Surachet Pravinvongvuth and Mongkol Ekpanyapong
Information regarding the conditions of roads is a safety concern when driving. In Bangkok, public weather sensors such as weather stations and rain sensors are insufficiently available to provide such information. On the other hand, a number of existing...
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Yan Xie, Fang Miao, Kai Zhou and Jing Peng
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Rui Xu and Yanfang Zeng
Extracting road from high resolution remote sensing (HRRS) images is an economic and effective way to acquire road information, which has become an important research topic and has a wide range of applications. In this paper, we present a novel method fo...
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Li Chen, Qing Zhu, Xiao Xie, Han Hu and Haowei Zeng
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Lin Li, Daigang Li, Xiaoyu Xing, Fan Yang, Wei Rong and Haihong Zhu
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Rui Xu, Chu He, Xinlong Liu, Dong Chen and Qianqing Qin
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