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CASIA OpenIR
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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：226/0  |  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  
Complete Scene Reconstruction by Merging Images and Laser Scans 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 30, 期号: 10, 页码: 3688-3701
作者:  Gao Xiang;  Shen Shuhan;  Zhu Lingjie;  Shi Tianxin;  Wang Zhiheng;  Hu Zhanyi
浏览  |  Adobe PDF(25486Kb)  |  收藏  |  浏览/下载：332/64  |  提交时间：2019/10/07
Complete Scene Reconstruction  Image And Laser Scan Merging  Laser Scanning Location Planning  Image Synthesis And Matching  
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
浏览  |  Adobe PDF(5175Kb)  |  收藏  |  浏览/下载：429/124  |  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
浏览  |  Adobe PDF(6450Kb)  |  收藏  |  浏览/下载：427/147  |  提交时间：2018/10/09
Image Based Modeling  Ground-to-aerial Model Alignment  Ground-to-aerial Image Matching  
High-Resolution Remote Sensing Data Classification over Urban Areas Using Random Forest Ensemble and Fully Connected Conditional Random Field 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 卷号: 6, 期号: 8, 页码: 1-26
作者:  Sun, Xiaofeng;  Lin, Xiangguo;  Shen, Shuhan;  Hu, Zhanyi
浏览  |  Adobe PDF(18038Kb)  |  收藏  |  浏览/下载：351/61  |  提交时间：2018/03/03
Semantic Labeling  Random Forest  Conditional Random Field  Differential Morphological Profile  Ensemble Learning