
Open access
Author
Date
2021Type
- Journal Article
Abstract
Changes in technology are coming at an ever increasing pace. This holds for photogrammetry and remote sensing as well. "Everything moves" - this is why I chose this topic to shed some light on some of the recent developments. Naturally, this undertaking can never be complete in the sense of covering all developments in Photogrammetry and Remote Sensing. Besides, the impact of Deep Learning in photogrammetry is not mentioned in this paper. This is a very personal account. People may not agree with some of my findings, but this is in the nature of science. In any case, this contribution is meant as a tribute to Gottfried's successful lifelong work. It is not a scientific paper in the traditional sense but rather a collection of thoughts that emerged over the 50 years of my professional career. It is also meant for an audience who has not necessarily a deep photogrammetric expert know-how. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000470119Publication status
publishedExternal links
Journal / series
Geo-Spatial Information ScienceVolume
Pages / Article No.
Publisher
Taylor & FrancisSubject
History; perspective projection; photogrammetric pipeline; automation; 3D modelingMore
Show all metadata