Jan Behmann

发表

Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale

Anne-Katrin Mahlein, Elias Alisaac, Ali Al Masri, 2019, Sensors.

Generation and application of hyperspectral 3D plant models: methods and challenges

Lutz Plümer, Heiner Kuhlmann, Anne-Katrin Mahlein, 2015, Machine Vision and Applications.

In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale

Jan Behmann, David Bohnenkamp, Anne-Katrin Mahlein, 2019, Remote. Sens..

Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms

Anne-Katrin Mahlein, Jan Behmann, Stefan Paulus, 2018, J. Imaging.

Recognition of Activity States in Dairy Cows with SVMs and Graphical Models

Lutz Plümer, Jan Behmann, Wolfgang Büscher, 2014, GIL Jahrestagung.

Support Vector machine and duration-aware conditional random field for identification of spatio-temporal activity patterns by combined indoor positioning and heart rate sensors

Lutz Plümer, Jan Behmann, Wolfgang Büscher, 2016, GeoInformatica.

A Multi-Resolution Approach for an Automated Fusion of Different Low-Cost 3D Sensors

Lutz Plümer, Heiner Kuhlmann, Jan Behmann, 2014, Sensors.

Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection

Simon Bennertz, Uwe Rascher, Stefan Thomas, 2018, Sensors.

DETECTION OF DISEASE SYMPTOMS ON HYPERSPECTRAL 3D PLANT MODELS

Ribana Roscher, Lutz Plümer, Heiner Kuhlmann, 2016 .

Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping

Lutz Plümer, Heiner Kuhlmann, Anne-Katrin Mahlein, 2014, Sensors.

Generation and Application of Hyperspectral 3D Plant Models

Lutz Plümer, Heiner Kuhlmann, Anne-Katrin Mahlein, 2014, ECCV Workshops.

Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range

Kristian Kersting, Anne-Katrin Mahlein, Jan Behmann, 2019, Remote. Sens..

Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping

Lutz Plümer, Heiner Kuhlmann, Anne-Katrin Mahlein, 2015 .

Hyperspectral Plant Disease Forecasting Using Generative Adversarial Networks

Ribana Roscher, Jan Behmann, Jens Behley, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform

Stefan Thomas, Uwe Rascher, Anne-Katrin Mahlein, 2018, Plant Methods.

Image-based assessment of hyperspectral reflectance characteristics of plants in the field: Lessons Learned

Jan Behmann, David Bohnenkamp, Anne-Katrin Mahlein, 2019 .

On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3D plant models

Ribana Roscher, Lutz Plümer, Anne-Katrin Mahlein, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A review of advanced machine learning methods for the detection of biotic stress in precision crop protection

Lutz Plümer, Anne-Katrin Mahlein, Jan Behmann, 2014, Precision Agriculture.

Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!

Kristian Kersting, Uwe Rascher, Anne-Katrin Mahlein, 2019, Current opinion in plant biology.

Potential of hyperspectral imaging to detect and identify the impact of chemical warfare compounds on plant tissue

Anne-Katrin Mahlein, Jan Behmann, Matheus Thomas Kuska, 2018, Pure and Applied Chemistry.

Quantifying moisture and roughness with Support Vector Machines improves spectroscopic soil organic carbon prediction

Lutz Plümer, Jan Behmann, Christoph Römer, 2014 .