The 58th Photogrammetric Week will take place
September 13-16, 2022
Stuttgart, Germany
Carl Pulfrich Award 2022: Call for Nominations
Advancement in Photogrammetry, Remote Sensing and Geoinformatics
The Institute for Photogrammetry of the University of Stuttgart and the OpenPhoWo partners would like to inform about the
58th Photogrammetric Week (PhoWo) in Stuttgart
from Tuesday, September 13 to Friday, September 16, 2022.
The event was originally supposed to take place in autumn 2021, but had to be postponed due to the corona pandemic. Although corona has not yet been completely overcome, we are optimistic that we will be able to hold PhoWo as a face-to-face event again this time. The biennial event was initiated by Carl Pulfrich as a “vacation course in photogrammetry” in 1909; since 1973 it has been held at the University of Stuttgart. Over the years, remote sensing and geoinformatics together with photogrammetry have become the major subject areas of this conference. Today, the Photogrammetric Week enjoys international recognition as an upgrading seminar and a platform for the exchange of experience.
The lectures will focus on trends and achievements of the following topics:
- Sensors and Data Acquisition
- Photogrammetry, Computer Vision and Remote Sensing
- Geoinformatics
The presentations will be in English. Sufficient time will be allocated for discussions.
The programme will be supplemented with demonstrations and comments on practical examples in the afternoons. The fringe events will offer sufficient opportunity for personal contacts.
You will find more detailed information in the invitation flyer.
We look forward to meeting you in Stuttgart.
Stuttgart, February 2022
Prof. Dr.-Ing. Uwe Sörgel
Institute for Photogrammetry
University of Stuttgart
Some information on the 57th Photogrammetric Week:
September 9-13, 2019, University of Stuttgart
Report by Ismael Colomina
MapKITE presented at the 57th Photogrammetric Week in Stuttgart
Carl Pulfrich Award to Professor Bisheng Yang of Wuhan University for outstanding contribution in the field of point cloud processing