By Jessie JIA
On Feb 7th, the Department of Land Surveying and Geo-Informatics (LSGI) successfully organized a research seminar. Prof. Dr.-Ing. Christian Heipke (Professor, Leibniz Universität Hannover) was invited to give a speech about Photogrammetric Computer Vision. More than fifty LSGI staff, students, and other guests attended the seminar.
As the inviter, Prof. Weng Qihao, a Chair Professor of Geomatics and Artificial Intelligence at Dept of LSGI, and Director of JC STEM Lab of Earth Observations at PolyU, hosted the seminar. Prof. Wu Chen (Head of LSGI), Prof. Xiaoli Ding (Director of Research Institute of Land and Space), Prof. John Wenzhong SHI (Chair Professor of Geographical Information Science and Remote Sensing, LSGI), Sr Prof. Charles Man Sing WONG (Associate Dean of FCE and Professor, LSGI), Prof. George Zhizhao Liu (Associate Head and Professor, LSGI), along with a number of academic and research staff from LSGI attended the research seminar.
Dr. Christian Heipke is a professor of photogrammetry and remote sensing at Leibniz Universität Hannover, where he currently leads a group of about 25 researchers. He was the President of International Society for Photogrammetry and Remote Sensing (ISPRS), 2016-2022. 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 talk, audiences showed strong interest in how machine learning can be used in image recognition and classification. Prof. Weng discussed with Prof. Dr.-Ing. Christian Heipke about the future opportunities for graduates in the related fields.