50   Artículos

 
en línea
Yiliang Wan, Yuwen Fei, Rui Jin, Tao Wu and Xinguang He    
The effective extraction of impervious surfaces is critical to monitor their expansion and ensure the sustainable development of cities. Open geographic data can provide a large number of training samples for machine learning methods based on remote-sens... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Kirill Chernov, Uliana Monakhova, Yaroslav Mashtakov, Shamil Biktimirov, Dmitry Pritykin and Danil Ivanov    
The paper presents a study of decentralized control for a satellite formation flying mission that uses differential lift and drag to enforce the relative positioning requirements. All spacecraft are equipped with large sunlight reflectors so that, given ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Shenghao Ye, Xinyu Xue, Shuning Si, Yang Xu, Feixiang Le, Longfei Cui and Yongkui Jin    
Although there are existing interplant weed control devices for soybeans, they mostly rely on image recognition and intelligent navigation platforms. Simultaneously, automated weed control devices are not yet fully mature, resulting in issues such as hig... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Kunlong Hong, Hongguang Wang and Bingbing Yuan    
For the surface defects inspection task, operators need to check the defect in local detail images by specifying the location, which only the global 3D model reconstruction can?t satisfy. We explore how to address multi-type (original image, semantic ima... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Tianyu Yang, Xin Wang and Zhengjiang Liu    
With the aim to solve the problem of missing or tampering of ship type information in AIS information, in this paper, a novel ship type recognition scheme based on ship navigating trajectory and convolutional neural network (CNN) is proposed. Firstly, ac... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Tao Guo and Lei Xie    
With the aim of solving the problems of ship trajectory classification and channel identification, a ship trajectory classification method based on deep a convolutional neural network is proposed. First, the ship trajectory data are preprocessed using th... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jianxin Qin, Wenjie Yang, Tao Wu, Bin He and Longgang Xiang    
GPS trajectory and remote sensing data are crucial for updating urban road networks because they contain critical spatial and temporal information. Existing road network updating methods, whether trajectory-based (TB) or image-based (IB), do not integrat... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Guannan Li, Xiu Lu, Bingxian Lin, Liangchen Zhou and Guonian Lv    
In order to realize the management of various street objects in smart cities and smart transportation, it is very important to determine their geolocation. Current positioning methods of street-view images based on mobile mapping systems (MMSs) mainly re... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Lu Yang, Chishe Wang and Zhibin Li    
Capacity drop is the critical phenomenon that triggers traffic congestion, while traffic evolution is very complex during a capacity drop. This study applied the empirical vehicle trajectory data to explore the traffic characteristics during the capacity... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Chao Ning, Yalin Li, Ping Huang, Hongbo Shi and Haichao Sun    
Centrifugal pumps are the critical components in deep-sea mining. In order to investigate the particle motion in the curved channel of the impeller, three different types of curvature conform to blade profile to simplify the impeller design of pumps. A n... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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