Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Zhu, Jiasong"'
Autonomous exploration is a fundamental problem for various applications of unmanned aerial vehicles(UAVs). Existing methods, however, are demonstrated to static local optima and two-dimensional exploration. To address these challenges, this paper in
Externí odkaz:
http://arxiv.org/abs/2310.15931
Image super-resolution (SR) methods can generate remote sensing images with high spatial resolution without increasing the cost, thereby providing a feasible way to acquire high-resolution remote sensing images, which are difficult to obtain due to t
Externí odkaz:
http://arxiv.org/abs/2107.06536
Autor:
Li, Mingxiao, Tu, Wei, Tong, Huan, Cao, Jinzhou, Zhong, Chen, Zhang, Hengcai, Zhu, Jiasong, Li, Qingquan
Publikováno v:
In Cities May 2024 148
Estimating depth from RGB images can facilitate many computer vision tasks, such as indoor localization, height estimation, and simultaneous localization and mapping (SLAM). Recently, monocular depth estimation has obtained great progress owing to th
Externí odkaz:
http://arxiv.org/abs/2011.04123
Autor:
Zhang, Bochen, Liao, Xianing, Zhang, Jiayuan, Xiong, Siting, Wang, Chisheng, Wu, Songbo, Zhu, Chuanhua, Zhu, Jiasong, Qin, Xiaoqiong, Li, Qingquan
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation August 2023 122
Autor:
Li, Qing, Cao, Rui, Liu, Kanglin, Li, Zongze, Zhu, Jiasong, Bao, Zhenyu, Fang, Xu, Li, Qingquan, Huang, Xianfeng, Qiu, Guoping
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing August 2023 202:219-229
Publikováno v:
International Journal of Remote Sensing, 2020, Vol. 41, No. 2, pp. 740-751
With the rapid growing of remotely sensed imagery data, there is a high demand for effective and efficient image retrieval tools to manage and exploit such data. In this letter, we present a novel content-based remote sensing image retrieval method b
Externí odkaz:
http://arxiv.org/abs/1902.05818
Autor:
Li, Qing, Zhu, Jiasong, Cao, Rui, Sun, Ke, Garibaldi, Jonathan M., Li, Qingquan, Liu, Bozhi, Qiu, Guoping
Publikováno v:
Neurocomputing 2020
6DOF camera relocalization is an important component of autonomous driving and navigation. Deep learning has recently emerged as a promising technique to tackle this problem. In this paper, we present a novel relative geometry-aware Siamese neural ne
Externí odkaz:
http://arxiv.org/abs/1901.01049
Autor:
Fang, Xu, Li, Qing, Zhu, Jiasong, Chen, Zhipeng, Zhang, Dejin, Wu, Kechun, Ding, Kai, Li, Qingquan
Publikováno v:
In Automation in Construction October 2022 142
Autor:
Guo, Kai, Li, Qingquan, Wang, Chisheng, Mao, Qingzhou, Liu, Yanxiong, Zhu, Jiasong, Wu, Anlei
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing March 2022 185:62-84