18 Publikationen
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2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2962701Momber, A.W., et al., 2022. Corrigendum to “A data-based model for condition monitoring and maintenance planning for protective coating systems for wind tower structures” [Renew. Energy 186 (2022) 957–973]. Renewable Energy , 188, p 1184.PUB | DOI | WoS
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2950877Möller, T., & Nattkemper, T.W., 2021. ALMI - A Generic Active Learning System for Computational Object Classification in Marine Observation Images. Sensors, 21(4): 1134.PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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2019 | Konferenzbeitrag | Im Druck | PUB-ID: 2937705Möller, T., Langenkämper, D., & Nattkemper, T.W., In Press. Wind turbine segmentation performing kNN-clustering on superpixel segmentations. In L. Bruzzone & F. Bovolo, eds. Image and Signal Processing for Remote Sensing XXV. Image and Signal Processing for Remote Sensing XXV. Proceedings. no.11155PUB
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2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2921040Möller, T., Nillsen, I., & Nattkemper, T.W., 2018. Tracking Sponge Size and Behaviour with Fixed Underwater Observatories. In Z. Zhang, et al., eds. Pattern Recognition and Information Forensics. ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers. Lecture Notes in Computer Science. no.11188 Cham: Springer, pp. 45-54.PUB | DOI
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2915349Möller, T., Nilssen, I., & Nattkemper, T.W., 2017. Active learning for the classification of species in underwater images from a fixed observatory. In Proceedings of The IEEE International Conference on Computer Vision Workships (ICCVW). Piscataway, NJ: IEEE, pp. 2891-2897.PUB
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904671Möller, T., Nilssen, I., & Nattkemper, T.W., 2016. Change Detection in Marine Observatory Image Streams using Bi-Domain Feature Clustering. In 2016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, NJ: IEEE, pp. 793-798.PUB | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906524Möller, T., Nilssen, I., & Nattkemper, T.W., 2016. Data-driven Long Term Change Analysis in Marine Observatory Image Streams. In 2016 ICPR 2nd Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI 2016) . Proceedings. Piscataway, NJ: IEEE, pp. 13-18.PUB
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2014 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2656048Möller, T., Nilssen, I., & Nattkemper, T.W., 2014. Introduction of image-based water transparency descriptors to quantify marine snow and turbidity features. A study with data from a stationary observatory. Presented at the MIW 2014 - Marine Imaging Workshop, Southampton.PUB | PDF
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2014 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2676334Möller, T., et al., 2014. Novelty detection in time lapse image data. Presented at the Geohab 2014, Lorne, Victoria, Australia.PUB