New trends in photogrammetry and remote sensing: Spaceborne 3D and airborne real-time monitoring

New trends in photogrammetry and remote sensing: Spaceborne 3D and airborne real-time monitoring

Fri, 29/11/2013 - 11:00


About the Presenter

Peter Reinartz
Peter Reinartz received his Diploma (Dipl.-Phys.) in theoretical physics in 1983 from the University of Munich and his Ph.D. (Dr.-Ing) in civil engineering from the University of Hannover, in 1989. His dissertation is on optimization of classification methods for multispectral image data. He is head of the department “Photogrammetry and Image Analysis”, at the German Aerospace Centre (DLR), Remote Sensing Technology Institute (IMF) and holds a professorship for geoinformatics at the University of Osnabrück. He has more than 25 years of experience in image processing and remote sensing and over 250 publications in these fields.
His main interests are in direct georeferencing, stereo-photogrammetry and data fusion of spaceborne and airborne data, generation of digital elevation models and interpretation of VHR data from sensors like WorldView, GeoEye, and Pleiades.
He is also engaged in using remote sensing data for disaster management and using high frequency time series of airborne image data for real time image processing and their operational use in case of disasters as well as for traffic monitoring.

Venue

Charles Darwin University
Ellengowan Drive
Building Blue 5.1.01
Casuarina NT 0810
Australia

The quality of Digital Surface Models (DSM) generated from spaceborne stereo image data has been improved significantly through the use of dense matching methods from Computer Vision. 

After a short instruction into this research field, several application possibilities like 3D change detection for buildings or forest areas are demonstrated. Furthermore many remote sensing applications like disaster or mass event monitoring need the acquired data and extracted information within a very short time span. 

Airborne sensors can acquire the data quickly and on-board processing combined with data downlink is the fastest possibility to achieve this requirement. 

For this purpose, a new low-cost airborne frame camera system has been developed at the German Aerospace Center (DLR) named 3K-camera. The pixel size and swath width range between 12 cm to 40 cm and 2.5 km to 8 km respectively. Within two minutes an area of approximately 10 km x 8 km can be monitored. Image data are processed onboard using data from a real time GPS/IMU system including direct georeferencing. Due to high frequency image acquisition (3 images/second) the monitoring of moving objects like vehicles and people can be performed.

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