This presentation shows two applications of neural networks to radar data. The first one is the detection of persons and drones with a surveillance radar. The second one is the classification of radar targets using convolutional neural networks. The latter part focuses on the robustness of these networks, i.e. which part of the input data is relevant for classification and how to avoid fooling.
M. Sc. Simon Wagner
Small Target Detection
Classification of Radar Targets
Which part of the input image is used for classification
Methods to avoid fooling of neural networks
Customers, partners and interested parties from industry, politics, science and society
Specialists and managers, project managers and decision makers
Information on participating / attending:
Please register here:
05/04/2021 14:00 - 05/04/2021 14:30
Fraunhofer FHR Online-Vortragsreihe
Business and commerce, all interested persons
Electrical engineering, Information technology, Mathematics, Physics / astronomy
Types of events:
Presentation / colloquium / lecture, Seminar / workshop / discussion
Interne und externe Kommunikation
Event is free:
Language of the text:
URL of this event: http://idw-online.de/en/event68453
You can combine search terms with and, or and/or not, e.g. Philo not logy.
You can use brackets to separate combinations from each other, e.g. (Philo not logy) or (Psycho and logy).
Coherent groups of words will be located as complete phrases if you put them into quotation marks, e.g. “Federal Republic of Germany”.
You can also use the advanced search without entering search terms. It will then follow the criteria you have selected (e.g. country or subject area).
If you have not selected any criteria in a given category, the entire category will be searched (e.g. all subject areas or all countries).