Frank Liebisch
Orcid: 0000-0003-0000-7491
According to our database1,
Frank Liebisch
authored at least 16 papers
between 2014 and 2024.
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Bibliography
2024
Prediction Accuracy of Soil Chemical Parameters by Field- and Laboratory-Obtained vis-NIR Spectra after External Parameter Orthogonalization.
Sensors, June, 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2021
Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data.
Remote. Sens., 2021
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution.
IEEE Robotics Autom. Mag., 2021
Crop mapping from image time series: deep learning with multi-scale label hierarchies.
CoRR, 2021
Proximal and Drone Based Hyperspectral Sensing for Crop Nitrogen Status Detection in Historic Field Trials.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021
2020
Remote. Sens., 2020
2019
2018
WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming.
Remote. Sens., 2018
Remote. Sens., 2018
weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming.
IEEE Robotics Autom. Lett., 2018
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming.
CoRR, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Impact of Plant Surface Moisture on Differential Interferometric Observables: A Controlled Electromagnetic Experiment.
IEEE Trans. Geosci. Remote. Sens., 2017
2015
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015
2014
Characterization of crop vitality and resource use efficiency by means of combining imaging spectroscopy based plant traits.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014