Z
Zhonghua Hong
Researcher at College of Information Technology
Publications - 65
Citations - 897
Zhonghua Hong is an academic researcher from College of Information Technology. The author has contributed to research in topics: Sea ice & Hyperspectral imaging. The author has an hindex of 12, co-authored 62 publications receiving 586 citations. Previous affiliations of Zhonghua Hong include Shanghai Ocean University & Tongji University.
Papers
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Building-damage detection using pre- and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake
Xiaohua Tong,Zhonghua Hong,Shijie Liu,Xue Zhang,Huan Xie,Zhengyuan Li,Sonlin Yang,Weian Wang,Feng Bao +8 more
TL;DR: Wang et al. as mentioned in this paper presented an approach for the detection of buildings that have collapsed in an earthquake based on 3D geometric changes, particularly height change of the buildings, using pre- and post-seismic IKONOS stereo image pairs.
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Integration of UAV-Based Photogrammetry and Terrestrial Laser Scanning for the Three-Dimensional Mapping and Monitoring of Open-Pit Mine Areas
Xiaohua Tong,Xiangfeng Liu,Peng Chen,Shijie Liu,Kuifeng Luan,Lingyun Li,Shuang Liu,Xianglei Liu,Huan Xie,Yanmin Jin,Zhonghua Hong +10 more
TL;DR: Experimental results show that by introduction of TLS derived point clouds as GCPs, the accuracy of geo-positioning based on UAV imagery can be improved, and the results also show that the TLSderived point clouds can be used as G CPs in areas such as in mountainous or high-risk environments where it is difficult to conduct a GPS survey.
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Use of shadows for detection of earthquake-induced collapsed buildings in high-resolution satellite imagery
TL;DR: Wang et al. as discussed by the authors presented a hybrid shadow analysis approach that integrates the model-and property-based methods for detecting collapsed buildings after an earthquake using high-resolution satellite imagery, and the experimental results showed the superiority of the proposed approach to the other existing ones.
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Multi-Scale Ship Detection From SAR and Optical Imagery Via A More Accurate YOLOv3
Zhonghua Hong,Ting Yang,Xiaohua Tong,Yun Zhang,Shenlu Jiang,Ruyan Zhou,Yanling Han,Jing Wang,Shuhu Yang,Sichong Liu +9 more
TL;DR: In this article, the authors proposed a new improvement on the YOLOv3 framework for ship detection in marine surveillance, based on synthetic aperture radar (SAR) and optical imagery.
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Framework of Jitter Detection and Compensation for High Resolution Satellites
Xiaohua Tong,Zhen Ye,Yusheng Xu,Xinming Tang,Shijie Liu,Lingyun Li,Huan Xie,Wang Fengxiang,Li Tianpeng,Zhonghua Hong +9 more
TL;DR: Experiments with images from several satellites, such as ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiaometer), LRO (Lunar Reconnaissance Orbiter) and ZY-3 (ZiYuan-3) demonstrate the promising performance and feasibility of the proposed framework of jitter detection and compensation for high resolution satellites.