Object and change detection from optical and radar data


The fusion of optical and radar data is a common method of remote sensing. This merge provides more information than the evaluation of pure, optical or radar data. The today available radar sensors (eg, the TerraSAR-X / TanDEM-X satellites), have a relatively high ground resolution (1 m). So the different imaging geometry of radar and optical sensors have a greater impact. Especially in urban areas or in mountainous, mainly alpine regions, when significant local differences in altitude occur a meaningful superposition of the data is no longer possible. Explicitly in such areas the project will examine the merge of orthorectified rada with the optical image data. Applicability to the fusion of optical and radar data in regions with complex topography is to be investigated, adapted and improved. As an application to the problems of the object recognition and change detection in these fused image data are considered. There is no time-synchronous recording of an area of ​​the various sensors available. The results depends the identification of clouds covered areas and the identification of changes between two time very close but different sensory images.


Principal investigators
Reulke, Ralf Prof. Dr. (Details) (Computer Vision)

Financer
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)

Duration of project
Start date: 03/2013
End date: 12/2014

Last updated on 2022-08-09 at 03:09