|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Paulina Zachar, Wojciech Ostrowski, Anna Platek-Zak and Zdzislaw Kurczynski
The dynamic development of deep learning methods in recent years has prompted the widespread application of these algorithms in the field of photogrammetry and remote sensing, especially in the areas of image recognition, classification, and object detec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jing Ding, Zhigang Yan and Xuchen We
To obtain effective indoor moving target localization, a reliable and stable moving target localization method based on binocular stereo vision is proposed in this paper. A moving target recognition extraction algorithm, which integrates displacement pyr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ying Yang and Cunwei Lu
Tsunamis are some of the most destructive natural disasters. Some proposed tsunami measurement and arrival prediction systems use a limited number of instruments, then judge the occurrence of the tsunami, forecast its arrival time, location and scale. Si...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hua Liu, Rui Wang, Yuanping Xia and Xiaoming Zhang
Dense stereo matching has been widely used in photogrammetry and computer vision applications. Even though it has a long research history, dense stereo matching is still challenging for occluded, textureless and discontinuous regions. This paper proposed...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ting Chen, Haiqing He, Dajun Li, Puyang An and Zhenyang Hui
The all-embracing inspection of geometry structures of revetments along urban rivers using the conventional field visual inspection is technically complex and time-consuming. In this study, an approach using dense point clouds derived from low-cost unman...
ver más
|
|
|
|
|
|
|
|
|
|
|
Arnadi Murtiyoso, Mirza Veriandi, Deni Suwardhi, Budhy Soeksmantono and Agung Budi Harto
Developments in UAV sensors and platforms in recent decades have stimulated an upsurge in its application for 3D mapping. The relatively low-cost nature of UAVs combined with the use of revolutionary photogrammetric algorithms, such as dense image matchi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingxue Wang, Ning Zhang, Xiangqian Wu and Weixi Wang
Reliable image matching is the basis of image-based three-dimensional (3D) reconstruction. This study presents a quasi-dense matching method based on triangulation constraint and propagation as applied to different types of close-range image matching, su...
ver más
|
|
|
|
|
|
|
|
|
|
|
Damian Wierzbicki and Marcin Nienaltowski
In the last few years, Unmanned Aerial Vehicles (UAVs) equipped with compact digital cameras, have become a cheap and efficient alternative to classic aerial photogrammetry and close-range photogrammetry. Low-altitude photogrammetry has great potential n...
ver más
|
|
|
|
|
|