Search Results - "Behmann, J."

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  1. 1

    Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art by Mahlein, A.-K, Kuska, M.T, Behmann, J, Polder, G, Walter, A

    Published in Annual review of phytopathology (25-08-2018)
    “…Plant disease detection represents a tremendous challenge for research and practical applications. Visual assessment by human raters is time-consuming,…”
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    Journal Article
  2. 2

    Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species by Alisaac, E., Behmann, J., Kuska, M. T., Dehne, H.-W., Mahlein, A.-K.

    Published in European journal of plant pathology (01-12-2018)
    “…Interactions of Fusarium species with different wheat varieties differ in their temporal dynamics and symptom appearance. Reliable and objective approaches for…”
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    Journal Article
  3. 3

    Hyperspectral signal decomposition and symptom detection of wheat rust disease at the leaf scale using pure fungal spore spectra as reference by Bohnenkamp, D., Kuska, M. T., Mahlein, A.‐K., Behmann, J.

    Published in Plant pathology (01-08-2019)
    “…This study establishes a method to detect and distinguish between brown rust and yellow rust on wheat leaves based on hyperspectral imaging at the leaf scale…”
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    Journal Article
  4. 4

    SUITABILITY ASSESSMENT OF DIFFERENT SENSORS TO DETECT HIDDEN INSTALLATIONS FOR AS-BUILT BIM by Knechtel, J., Behmann, J., Haunert, J.-H., Dehbi, Y.

    “…Knowledge on the utilities hidden in the wall, e.g., electric lines or water pipes, is indispensable for work safety and valuable for planning. Since most of…”
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    Journal Article
  5. 5

    IMPROVING GPS TRAJECTORIES USING 3D CITY MODELS AND KINEMATIC POINT CLOUDS by Dehbi, Y., Lucks, L., Behmann, J., Klingbeil, L., Plümer, L.

    “…Accurate and robust positioning of vehicles in urban environments is of high importance for many applications (e.g. autonomous driving or mobile mapping). In…”
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    Journal Article
  6. 6

    Ordinal classification for efficient plant stress prediction in hyperspectral data by Behmann, J., Schmitter, P., Steinrücken, J., Plümer, L.

    “…Detection of crop stress from hyperspectral images is of high importance for breeding and precision crop protection. However, the continuous monitoring of…”
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    Journal Article Conference Proceeding
  7. 7

    DETECTION OF DISEASE SYMPTOMS ON HYPERSPECTRAL 3D PLANT MODELS by Roscher, Ribana, Behmann, Jan, Mahlein, Anne-Katrin, Dupuis, Jan, Kuhlmann, Heiner, Plümer, Lutz

    “…We analyze the benefit of combining hyperspectral images information with 3D geometry information for the detection of Cercospora leaf spot disease symptoms on…”
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    Journal Article