Project Details
Projekt
Compressive 2D/3D SAR (ComSAR)
Applicants
Professor Dr.-Ing. Joachim Ender; Professor Dr.-Ing. Otmar Loffeld (†)
Subject Area
Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
Term
from 2015 to 2020
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 271711851
Compressive Sensing (CS) methods applied to Synthetic Aperture Radar (SAR) one the one hand promise the reduction of raw data rates and quantity without losing any information concerning the final result (this was the principal paradigm and main direction of CS in the beginning), but more importantly, and this is the driver and motivation of this research proposal, it enables the development of new methods of information retrieval. State-of-the-art are first published CS approaches to radar imaging, particularly for the imaging of small objects (ISAR, Spotlight), but as well for the special case of SAR-tomography. However, CS-SAR is far from being generally understood concerning its possibilities and even farther away from being an operational or mature processing approach in comparison with classical algorithms. The works of this proposal aim at filling this apparent gap. The goal of the applicants, both well known experts in radar imaging and CS applications, is to systematically research sparsity issues in SAR-data and to exploit sparse models or combinationation of sparse models to generate SAR images of superior quality. Rather than using CS for reducing the number of measurements, they intend use the non reduced data set to increase the resolution, giving rise to super resolution. A further main aspect is the utilization of complementary overcomplete dictionaries for the identification of different scattering mechanisms and different scene characteristics as initial point for a novel form of content classification and information retrieval. The third research goal aims at the development of CS techniques for 3D-imaging with planar real and/or synthetic apertures, especially with respect to material penetrating radar, with applications for ground penetrating radar (GPR) and subsurface imaging, with impacts on quality control up to clinical diagnostics.
DFG Programme
Priority Programmes
