Concept
Interferometric synthetic-aperture radar
Publications associées (97)
AN UNSUPERVISED METHOD FOR THE DETECTION OF AND TRACKING OF TARGETS IN SPOTLIGHT MODE SAR IMAGES
Taking advantage of Capella's ability to dwell on a target for an extended period of time (nominally 30s) in its spotlight (SP) mode, an unsupervised methodology for detecting moving targets in this data is presented in this paper. By colourizing short seg ...
New York2023Estimation of Self-Exciting Point Processes from Time-Censored Data
Thomas Alois Weber, Philipp Schneider
Self-exciting point processes, widely used to model arrival phenomena in nature and society, are often difficult to identify. The estimation becomes even more challenging when arrivals are recorded only as bin counts on a finite partition of the observatio ...
2023High sensitivity, incoherent differential imaging
Microscopic visualisation of optically transparent samples has been a topic of interest for several decades. Features such as density or chemical composition can influence the optical phase of transmitted light, and phase contrast can reveal these structur ...
EPFL2022Lock-in incoherent differential phase contrast imaging
Christophe Moser, Timothé Laforest, Damien Claude-Marie Loterie, Chiara Bonati
We introduce a lock-in method to increase the phase contrast in incoherent differential phase contrast (DPC) imaging. This method improves the phase sensitivity by the analog removal of the background. The use of a smart pixel detector with in-pixel signal ...
CHINESE LASER PRESS2022Fundamental bounds on the precision of iSCAT, COBRI and dark-field microscopy for 3D localization and mass photometry
Interferometric imaging is an emerging technique for particle tracking and mass photometry. Mass or position are estimated from weak signals, coherently scattered from nanoparticles or single molecules, and interfered with a co-propagating reference. In th ...
IOP PUBLISHING LTD2021Improving Multi-agent Coordination by Learning to Estimate Contention
Boi Faltings, Panayiotis Danassis, Florian Wiedemair
We present a multi-agent learning algorithm, ALMA-Learning, for efficient and fair allocations in large-scale systems. We circumvent the traditional pitfalls of multi-agent learning (e.g., the moving target problem, the curse of dimensionality, or the need ...
2021Optical characterization of high numerical aperture microlenses for quality assessment and fabrication process optimization
Toralf Scharf, Wilfried Noell, Jeremy Béguelin
Accurate characterization of high numerical aperture aspheric microlenses currently is a nonstandard procedure that remains an open challenge. Here, we present and discuss a characterization method based on interferometric and point spread function measure ...
OPTICAL SOC AMER2020