IRS 2024 Focus Session

“Multi-dimensional radar imaging” 

SAR/ISAR images have been largely used for monitoring small to large areas and in different applications more specifically for target recognition/identification. However, classical SAR/ISAR systems typically make use of single frequency, constant instantaneous bandwidth, single polarization radar systems, which may have some limitations in terms of spatial resolutions and may experience some difficulties in image interpretation. Multi-dimensional radar on the other hand benefits from a variation of specific parameters, e.g. different polarizations, illumination directions (azimuth or elevation), center frequencies, etc.

The objective of this session is to carry together new aspects in the field of multi-dimensional radar to form multi-perspective high-resolution 2D, 3D and tomographic radar images of targets, with intent of enhancing target classification and recognition. Possible topics cover algorithms for volumetric SAR, coherent and/or incoherent combination of multi-dimensional data, combination/fusion of spatial and temporal data, and investigation of AI to manage multi-dimensional data.

Session chairs

Dr Patrick Berens

Patrick Berens, PhD, Scientist at Fraunhofer FHR: Received his diploma degree in Electrical Engineering from the Ruhr University Bochum, Germany in 1997. Since then, he works at the Fraunhofer FHR (Fraunhofer Institute for High Frequency Physics and Radar Techniques) on different topics of SAR imaging. In 2003, he received his PhD degree on a topic related to SAR in spotlight mode.

Patrick was involved in many activities related to the experimental SAR sensors of Fraunhofer FHR: AER-II (1997-2000), PAMIR-X (2001-2016), and PAMIR-Ka (since 2017) as well as scientific projects granted from the German MoD and defense industries. For more than ten years, he participates in different SAR and ISAR related NATO SET research task groups, currently in the SET-317 about multi-dimensional/multi-platform radar imaging.

Marcin Kamil Bączyk