24 citations · 49 across the 9 of their papers we have counts for
11 papers
Multi-static Parameter Estimation in the Near/Far Field Beam Space for Integrated Sensing and Communication Applications
Saeid K. Dehkordi, Lorenzo Pucci, Peter Jung +3
This work proposes a maximum likelihood (ML)-based parameter estimation framework for a millimeter wave (mmWave) integrated sensing and communication (ISAC) system in a multi-stati…
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography
Kun Qian, Yuanyuan Wang, Peter Jung +2
Finding sparse solutions of underdetermined linear systems commonly requires the solving of L1 regularized least squares minimization problem, which is also known as the basis purs…
A physics-informed neural network framework for modeling obstacle-related equations
Hamid El Bahja, Jan Christian Hauffen, Peter Jung +2
Deep learning has been highly successful in some applications. Nevertheless, its use for solving partial differential equations (PDEs) has only been of recent interest with current…
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging
Samim Ahmadi, Linh Kästner, Jan Christian Hauffen +2
This paper presents deep unfolding neural networks to handle inverse problems in photothermal radiometry enabling super resolution (SR) imaging. Photothermal imaging is a well-know…
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging
Samim Ahmadi, Jan Christian Hauffen, Linh Kästner +3
Block-sparse regularization is already well-known in active thermal imaging and is used for multiple measurement based inverse problems. The main bottleneck of this method is the c…
Classification of Spot-welded Joints in Laser Thermography Data using Convolutional Neural Networks
Linh Kästner, Samim Ahmadi, Florian Jonietz +4
Spot welding is a crucial process step in various industries. However, classification of spot welding quality is still a tedious process due to the complexity and sensitivity of th…
Laser excited super resolution thermal imaging for nondestructive inspection of internal defects
Samim Ahmadi, Julien Lecompagnon, Philipp Daniel Hirsch +4
A photothermal super resolution technique is proposed for an improved inspection of internal defects. To evaluate the potential of the laser-based thermographic technique, an addit…
Reconstruction Methods in THz Single-pixel Imaging
Martin Burger, Lea Föcke, Lukas Nickel +2
The aim of this paper is to discuss some advanced aspects of image reconstruction in single-pixel cameras, focusing in particular on detectors in the THz regime. We discuss the rec…
Terahertz dynamic aperture imaging at stand-off distances using a Compressed Sensing protocol
Sven Augustin, Peter Jung, Sven Frohmann +1
In this text, results of a 0.35 terahertz (THz) dynamic aperture imaging approach are presented. The experiments use an optical modulation approach and a single pixel detector at a…
Breaking Imaging Limits using Dithering Masks in 0.35 Terahertz Single-Pixel Imaging
Sven Augustin, Tom Szollmann, Peter Jung +1
In this contribution, we explore the imaging limits of terahertz single-pixel cameras and present a way to improve the achievable signal-to-noise ratio and spatial resolution using…
Mask Responses for Single-Pixel Terahertz Imaging
Sven Augustin, Sven Frohmann, Peter Jung +1
Terahertz (THz) radiation meaning electromagnetic radiation in the range from 0.1 THz (3 mm) to 10 THz (30 mu) has the unique advantage of easily penetrating many obstructions whil…