The ISPRS SC Webinar Series
Deep Learning for Photogrammetric Analysis and Remote Sensing
by Konrad Schindler
20 February 2020
In today’s era of big data, deep learning techniques are becoming more vital to pursuing data intensive science. International space agencies are launching missions after missions and data are also collected using airborne and terrestrial remote sensing techniques at the regional and local levels. Exploring the potential and variety of applications from the vast quantity of remote sensing imagery calls for new tools that can automate and optimize the extraction of reliable and useful information and facilitate subsequent analyses.
About Dr. Konrad Schindler: Dr. Konrad Schindler is a professor at the Department of Civil, Environmental and Geomatic Engineering, Institute of Geodesy and Photogrammetry in ETH Zürich. He has completed his PhD in Computer Science in Graz University of Technology, Austria in 2003. Since then, he has published numerous papers on photogrammetry, remote sensing, computer vision and image interpretation. He has received several best presentation awards in various conferences and honours from international societies, including the U.V. Helava Award from ISPRS in 2012 and the Marr Prize Honourable Mention from the IEEE Computer Society in 2013.
For more information on Dr. Schindler, read our interview in the SpeCtrum, the official Newsletter of the ISPRS SC: http://sc.isprs.org/files/sc/newsletter/isprs_sc_SpeCtrum_vol12_no2.pdf
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ISPRS SC Webinar Series: Deep Learning for Photogrammetric Analysis and Remote Sensing
