Three-dimensional reconstruction of urban areas by multi-aspect TomoSAR data fusion

Author

Schmitt, Michael

Author_Institution

Young Investigators Group SiPEO, Tech. Univ. Muenchen, Munich, Germany

fYear

2015

fDate

March 30 2015-April 1 2015

Firstpage

1

Lastpage

4

Abstract

Recent advances in airborne synthetic aperture radar tomography (TomoSAR) enable the generation of three-dimensional point clouds of urban areas with sub-meter accuracy and a point density comparable to LiDAR by exploiting multi-baseline stacks from multiple viewing angles. This paper summarizes the complete workflow from tomographic height reconstruction via geocoding to the combination of multi-aspect point clouds by a novel voxel-space-based fusion strategy. The evaluation results with respect to LiDAR-derived reference data show the great potential of multi-aspect TomoSAR data fusion when it comes to accurate and comprehensive reconstruction of urban areas.

Keywords

airborne radar; encoding; geophysical techniques; sensor fusion; synthetic aperture radar; LiDAR; airborne synthetic aperture radar tomography; multiaspect TomoSAR data fusion; multibaseline stack; multiple viewing angle; point density; three dimensional multiaspect point cloud; three-dimensional urban area reconstruction; tomographic height reconstruction; voxel-space-based fusion strategy; Accuracy; Image reconstruction; Synthetic aperture radar; Three-dimensional displays; Tomography; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event (JURSE), 2015 Joint

Conference_Location

Lausanne

Type

conf

DOI

10.1109/JURSE.2015.7120478

Filename

7120478