中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共5条，第1-5条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic Segmentation 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 9, 页码: 22
作者:  Xing, Siyuan;  Dong, Qiulei;  Hu, Zhanyi
收藏  |  浏览/下载：188/0  |  提交时间：2022/07/25
height estimation  semantic segmentation  single aerial image  convolutional neural networks  multi-task learning  deep metric learning  
Complete and Accurate Indoor Scene Capturing and Reconstruction Using a Drone and a Robot 期刊论文
IEEE Sensors Journal, 2021, 卷号: 21, 期号: 10, 页码: 11858-11869
作者:  Gao, Xiang;  Zhu, Lingjie;  Cui, Hainan;  Hu, Zhanyi;  Liu, Hongmin;  Shen, Shuhan
收藏  |  浏览/下载：186/0  |  提交时间：2021/06/07
Indoor scene capturing and reconstruction  Drone-robot cooperation  Aerial map construction  Ground robot localization  Ground-to-aerial image merging  
Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 143, 期号: 9, 页码: 72-84
作者:  Gao, Xiang;  Shen, Shuhan;  Zhou, Yang;  Cui, Hainan;  Zhu, Lingjie;  Hu, Zhanyi
Adobe PDF(5175Kb)  |  收藏  |  浏览/下载：401/121  |  提交时间：2018/10/09
Image Based Modeling  Ground-to-aerial Image Matching  Ground-to-aerial Point Cloud Merging  Digital Heritage  
Accurate and efficient ground-to-aerial model alignment 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 76, 期号: 76, 页码: 288-302
作者:  Gao, Xiang;  Hu, Lihua;  Cui, Hainan;  Shen, Shuhan;  Hu, Zhanyi
Adobe PDF(6450Kb)  |  收藏  |  浏览/下载：405/144  |  提交时间：2018/10/09
Image Based Modeling  Ground-to-aerial Model Alignment  Ground-to-aerial Image Matching  
Geographic, Geometrical and Semantic Reconstruction of Urban Scene from High Resolution Oblique Aerial Image 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2017, 期号: x, 页码: x
作者:  Xiaofeng Sun;  Shuhan Shen;  Hainan Cui;  Lihua Hu;  Zhanyi Hu
Adobe PDF(65663Kb)  |  收藏  |  浏览/下载：301/81  |  提交时间：2018/10/09
Oblique Aerial Image  Point Cloud  Urban Reconstruction  Semantic Labeling