Fusion of Single-Image-Based Height Maps Generated from Multi-Orbit SAR Acquisitions for City Model Reconstruction
Titel Konferenzpublikation:
15th European Conference on Synthetic Aperture Radar
Konferenztitel:
European Conference on Synthetic Aperture Radar (15.,2024, München)
Tagungsort:
München
Jahr der Konferenz:
2024
Datum Beginn der Konferenz:
23.04.2024
Datum Ende der Konferenz:
26.04.2024
Verlag:
VDE Verlag
Jahr:
2024
Seiten von - bis:
1366-1369
Sprache:
Englisch
Abstract:
Reconstructing urban height maps from single SAR intensity images via deep convolutional neural networks is becoming an alternative to conventional SAR-based 3D reconstruction techniques such as SAR interferometry or SAR tomography. However, even with this new technology, data gaps caused by radar shadowing remain an unsolved problem. In this paper, we investigate the potential of a fusion of single-image-based height maps derived from SAR data acquired from both ascending and descending orbits in the context of the generation of a simple LOD1 city model. Experimental results confirm that adding a second image from the opposing orbit leads to a significant boost in the quality of the city model. «
Reconstructing urban height maps from single SAR intensity images via deep convolutional neural networks is becoming an alternative to conventional SAR-based 3D reconstruction techniques such as SAR interferometry or SAR tomography. However, even with this new technology, data gaps caused by radar shadowing remain an unsolved problem. In this paper, we investigate the potential of a fusion of single-image-based height maps derived from SAR data acquired from both ascending and descending orbits... »
ISBN:
978-3-8007-6286-6
Fakultät:
Fakultät für Luft- und Raumfahrttechnik
Institut:
LRT 9 - Institut für Raumfahrttechnik und Weltraumnutzung