Prof. Qihao Weng sent the department and lab souvenirs to Prof. Dr.-Ing. Christian Heipke
Prof. Qihao Weng sent the department and lab souvenirs to Prof. Dr.-Ing. Christian Heipke
Prof. Dr.-Ing. Christian Heipke gave a talk
On 7 Feb 2023, the Department of Land Surveying and Geo-Informatics (LSGI) successfully organized a research seminar. Prof. Dr.-Ing. Christian Heipke from Leibniz Universität Hannover, Departmental Academic Advisor of LSGI, was invited to give a presentation on “Photogrammetric Computer Vision”. More than fifty staff, students, and guests from PolyU attended the seminar.
Prof. Weng Qihao, a Chair Professor of Geomatics and Artificial Intelligence of LSGI, and Director of JC STEM Lab of Earth Observations at PolyU, introduced the speaker before the seminar. Participating academic staff included Prof. Wu Chen, Head of LSGI, Prof. Xiaoli Ding, Prof. John Wenzhong SHI, Sr Prof. Charles Man Sing WONG, Prof. George Zhizhao Liu, Dr. Xiaolin Zhu, and other academic staff and researchers.
Prof. Heipke is a professor of photogrammetry and remote sensing at Leibniz Universität Hannover, where he currently leads a group of about 25 researchers. His professional interests comprise all aspects of photogrammetry, remote sensing, image understanding, and their GIS computer connection to has authored or co-authored more than 300 scientific papers, more than 70 of which appeared in peer-reviewed international journals. He is the recipient of the Otto von Gruber Award 1992, the most prestigious award for young scientists in photogrammetry and remote sensing, the Frederick J. Doyle Award 2012 for outstanding and sustained qualities in the profession, both offered by ISPRS, and the Photogrammetric (Fairchild) Award 2013 from ASPRS. His talk focuses on geospatial applications of photogrammetric computer vision, dealing with aerial images, digital surface and terrain models, digital orthophotos, digital landscape models, and 3D city models. An overview of current sensor systems for geospatial data acquisition and automatic data processing procedures is given during his talk. A particular focus is laid on methods borrowed from machine learning. After his sharing, audiences showed strong interest in how machine learning could be used in image recognition and classification. Participants discussed with Prof. Heipke on the future opportunities for graduates in related fields. Questions were raised on technical issues too.
At the end of the seminar, on behalf of the LSGI and JC STEM Lab of Earth Observations, Prof. Weng presented the souvenirs and certificate of appreciation to Prof. Heipke.
