42   Artículos

 
en línea
Minshi Liu, Ling Zhang, Yi Long, Yong Sun and Mingwei Zhao    
With the rising popularity of portable mobile positioning equipment, the volume of mobile trajectory data is increasing. Therefore, trajectory data compression has become an important basis for trajectory data processing, analysis, and mining. According ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Zhen Lei and Ting L. Lei    
Geospatial data conflation is the process of identifying and merging the corresponding features in two datasets that represent the same objects in reality. Conflation is needed in a wide range of geospatial analyses, yet it is a difficult task, often con... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Huapeng Tang, Danyang Qin, Jiaqiang Yang, Haoze Bie, Yue Li, Yong Zhu and Lin Ma    
In indoor low-light environments, the lack of light makes the captured images often suffer from quality degradation problems, including missing features in dark areas, noise interference, low brightness, and low contrast. Therefore, the feature extractio... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Jian Li, Yipu Peng, Zhiyuan Tang and Zichao Li    
To address the incomplete image data collection of close-to-ground structures, such as bridge piers and local features like the suspension cables in bridges, obtained from single unmanned aerial vehicle (UAV) oblique photography and the difficulty in acq... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Guobiao Yao, Jin Zhang, Jianya Gong and Fengxiang Jin    
To promote the development of deep learning for feature matching, image registration, and three-dimensional reconstruction, we propose a method of constructing a deep learning benchmark dataset for affine-invariant feature matching. Existing images often... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Haiyuan Cao, Deng Chen, Zhaohui Zheng, Yanduo Zhang, Huabing Zhou and Jianping Ju    
Point cloud registration has a wide range of applications in 3D reconstruction, pose estimation, intelligent driving, heritage conservation, and digital cities. The traditional iterative closest point (ICP) algorithm has strong dependence on the initial ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Pu Liu, Lieshan Zhang and Meibao Wang    
To address the lack of fast and high-precision in situ measurement of large-sized pipes in current industrial applications, a pipe-diameter-measurement method based on stereo vision is designed in this paper. By using multiple sets of binocular cameras t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Dong Fu, Hao Xia, Yujie Liu and Yanyou Qiao    
Most visual?inertial navigation systems (VINSs) suffer from moving objects and achieve poor positioning accuracy in dynamic environments. Therefore, to improve the positioning accuracy of VINS in dynamic environments, a monocular visual?inertial navigati... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Taoyong Li, Chunlei Xia, Ming Yu, Panpan Tang, Wei Wei and Dongmei Zhang    
Automatic charging for electric vehicles has broad development prospects for meeting the personalized service experience of users while overcoming the inherent safety hazards. An identification and positioning approach suitable for engineering applicatio... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hye-Jin Lee, Yongjin Kwon and Sun-Young Ihm    
In this paper, we propose the duality-based image sequence matching method, which is called Dual-ISM, a subsequence matching method for searching for similar images. We first extract feature points from the given image data and configure the feature vect... ver más
Revista: Applied Sciences    Formato: Electrónico

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