Skip to main content Skip to main navigation

Dr. rer. nat. Christoph Tholen

Organizational unit Marine Perception
Contact

Publications

Goals and Stakeholder Involvement in XAI for Remote Sensing: A Structured Literature Review

Carolin Leluschko; Christoph Tholen

In: Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Proceedings. SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2023), December 12-14, Campbridge, United Kingdom, Lecture Notes in Computer Science (LNCS), Vol. 14381, Springer Nature Switzerland AG, Cham, 12/2023.

To the publication

Improved deep learning based litter detection in aquatic environments in Indonesia using drones

Mattis Wolf; Diajeng Wulandari Atmojo; Christoph Tholen; Oliver Zielinski

In: Proceedings of OCEANS 2023. OCEANS MTS/IEEE Conference (OCEANS-2023), June 5-8, Limerick, Ireland, Pages 1-7, ISBN 979-8-3503-3226-1, IEEE, 6/2023.

To the publication

Machine learning on multisensor data from airborne remote sensing to monitor plastic litter in oceans and rivers (PlasticObs+)

Christoph Tholen; Mattis Wolf; Carolin Leluschko; Oliver Zielinski

In: Proceedings of OCEANS 2023. OCEANS MTS/IEEE Conference (OCEANS-2023), June 5-8, Limerick, Ireland, Pages 1-7, ISBN 979-8-3503-3226-1, IEEE, 2023.

To the publication
All publications

Profile

  • XAI4SFAS

    Intelligentes Assistenzsystem für die teilautonome Schiffsführung

    Partners

    marinom GmbH

    Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth

     

  • iMagine

    Imaging data and services for aquatic science

    Aquatic research often relies on image and video data to gain knowledge about our oceans, lakes and rivers. Current challenges in this research area include analyzing human-caused littering or oil…

    iMagine

  • APLASTIC-Q-Canada

    Machine Learning identification of pollutants and other debris in Canadian Waterways

    The project deals with the further development of AI methods for the detection and analysis of litter in rivers and canals. Stationary camera systems are used, which enable long-term monitoring of the…

    APLASTIC-Q-Canada

  • PlasticObs_plus

    Verbund - KI: PlasticObs_plus - Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen

    Partners

    • OPTIMARE Systems GmbH
    • everwave GmbH
    • Jade Hochschule
    PlasticObs_plus

  • MATE

    Maritime Traffic Emissions: A monitoring network

    Maritime ship traffic is globally increasing with 90% of the world trade being carried over the ocean. The emissions of the maritime traffic are a severe threat to the marine environment and coastal…

    MATE