Anne-Katrin Mahlein

According to our database, Anne-Katrin Mahlein authored at least 24 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet.

Maurice Günder, Facundo Ramón Ispizua Yamati, Abel Andree Barreto Alcántara, Anne-Katrin Mahlein, Rafet Sifa, Christian Bauckhage

CoRR, 2023

2022

Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision.

Maurice Günder, Facundo Ramón Ispizua Yamati, Jana Kierdorf, Ribana Roscher, Anne-Katrin Mahlein, Christian Bauckhage

CoRR, 2022

2021

Combining expert knowledge and neural networks to model environmental stresses in agriculture.

Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev

CoRR, 2021

Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry.

Abel Barreto, Philipp Lottes, Facundo Ramón Ispizua Yamati, Stephen Baumgarten, Nina Anastasia Wolf, Cyrill Stachniss, Anne-Katrin Mahlein, Stefan Paulus

Comput. Electron. Agric., 2021

2020

Prediction of the Kiwifruit Decline Syndrome in Diseased Orchards by Remote Sensing.

Francesco Savian, Marta Martini, Paolo Ermacora, Stefan Paulus, Anne-Katrin Mahlein

Remote. Sens., 2020

Making deep neural networks right for the right scientific reasons by interacting with their explanations.

Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting

Nat. Mach. Intell., 2020

Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations.

Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting

CoRR, 2020

Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets.

Behrend Heeren, Stefan Paulus, Heiner E. Goldbach, Heiner Kuhlmann, Anne-Katrin Mahlein, Martin Rumpf, Benedikt Wirth

BMC Bioinform., 2020

2019

Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring <i>Fusarium</i> Head Blight of Wheat on Spikelet Scale.

Anne-Katrin Mahlein, Elias Alisaac, Ali Al Masri, Jan Behmann, Heinz-Wilhelm Dehne, Erich-Christian Oerke

Sensors, 2019

Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range.

Anna Brugger, Jan Behmann, Stefan Paulus, Hans-Georg Luigs, Matheus Thomas Kuska, Patrick Schramowski, Kristian Kersting, Ulrike Steiner, Anne-Katrin Mahlein

Remote. Sens., 2019

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

David Bohnenkamp, Jan Behmann, Anne-Katrin Mahlein

Remote. Sens., 2019

2018

Infrared Thermography as a Non-Invasive Tool to Explore Differences in the Musculoskeletal System of Children with Hemophilia Compared to an Age-Matched Healthy Group.

Axel Seuser, Karin Kurnik, Anne-Katrin Mahlein

Sensors, 2018

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

Jan Behmann, Kelvin Acebron, Dzhaner Emin, Simon Bennertz, Shizue Matsubara, Stefan Thomas, David Bohnenkamp, Matheus Thomas Kuska, Jouni Jussila, Harri Salo, Anne-Katrin Mahlein, Uwe Rascher

Sensors, 2018

Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms.

Jan Behmann, David Bohnenkamp, Stefan Paulus, Anne-Katrin Mahlein

J. Imaging, 2018

2016

Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants.

Kristian Kersting, Christian Bauckhage, Mirwaes Wahabzada, Anne-Katrin Mahlein, Ulrike Steiner, Erich-Christian Oerke, Christoph Römer, Lutz Plümer

Proceedings of the Computational Sustainability, 2016

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

Jan Behmann, Anne-Katrin Mahlein, Stefan Paulus, Jan Dupuis, Heiner Kuhlmann, Erich-Christian Oerke, Lutz Plümer

Mach. Vis. Appl., 2016

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

Ribana Roscher, Jan Behmann, Anne-Katrin Mahlein, Lutz Plümer

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015

Supplemental Blue LED Lighting Array to Improve the Signal Quality in Hyperspectral Imaging of Plants.

Anne-Katrin Mahlein, Simon Hammersley, Erich-Christian Oerke, Heinz-Wilhelm Dehne, Heiner E. Goldbach, Bruce Grieve

Sensors, 2015

Automated interpretation of 3D laserscanned point clouds for plant organ segmentation.

Mirwaes Wahabzada, Stefan Paulus, Kristian Kersting, Anne-Katrin Mahlein

BMC Bioinform., 2015

Localized multispectral crop imaging sensors: Engineering & validation of a cost effective plant stress and disease sensor.

Bruce Grieve, Simon Hammersley, Anne-Katrin Mahlein, Erich-Christian Oerke, Heiner E. Goldbach

Proceedings of the IEEE Sensors Applications Symposium, 2015

2014

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

Stefan Paulus, Jan Behmann, Anne-Katrin Mahlein, Lutz Plümer, Heiner Kuhlmann

Sensors, 2014

Generation and Application of Hyperspectral 3D Plant Models.

Jan Behmann, Anne-Katrin Mahlein, Stefan Paulus, Heiner Kuhlmann, Erich-Christian Oerke, Lutz Plümer

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping.

Stefan Paulus, Jan Dupuis, Anne-Katrin Mahlein, Heiner Kuhlmann

BMC Bioinform., 2013

2010

Optimalwavelengths for an early identification of Cercospora beticola with Support Vector Machines based on hyperspectral reflection data.

Till Rumpf, Christoph Römer, Lutz Plümer, Anne-Katrin Mahlein

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010