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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-G-2025
https://doi.org/10.5194/isprs-annals-X-G-2025-151-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-X-G-2025-151-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
10 Jul 2025
| 10 Jul 2025
Traffic Pattern Analysis at Urban Intersections through Vehicle Detection in Aerial Imagery
Reza Bahmanyar
Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany
Jens Hellekes
Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany
Manuel Mühlhaus
Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany
Veronika Gstaiger
Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany
Franz Kurz
Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany
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Short summary
Short summary
Multimodal data fusion is an intuitive strategy to break the limitation of individual data in Earth observation. Here, we present a multimodal data set, named MDAS, consisting of synthetic aperture radar (SAR), multispectral, hyperspectral, digital surface model (DSM), and geographic information system (GIS) data for the city of Augsburg, Germany, along with baseline models for resolution enhancement, spectral unmixing, and land cover classification, three typical remote sensing applications.
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