Sina Keller
Sina Keller
Postdoc, Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology
Verified email at - Homepage
Cited by
Cited by
Supervised and semi-supervised self-organizing maps for regression and classification focusing on hyperspectral data
FM Riese, S Keller, S Hinz
Remote Sensing 12 (1), 7, 2019
Deep learning for land cover change detection
O Sefrin, FM Riese, S Keller
Remote Sensing 13 (1), 78, 2020
Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity
S Keller, PM Maier, FM Riese, S Norra, A Holbach, N Börsig, A Wilhelms, ...
International journal of environmental research and public health 15 (9), 1881, 2018
Soil texture classification with 1D convolutional neural networks based on hyperspectral data
FM Riese, S Keller
arXiv preprint arXiv:1901.04846, 2019
Mapping natural hazard impacts on road infrastructure—the extreme precipitation in Baden-Württemberg, Germany, June 2013
S Keller, A Atzl
International Journal of Disaster Risk Science 5, 227-241, 2014
Introducing a framework of self-organizing maps for regression of soil moisture with hyperspectral data
FM Riese, S Keller
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Advancing Ground-Based Radar Processing for Bridge Infrastructure Monitoring
C Michel, S Keller
Sensors 21 (6), 2172, 2021
Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies
PM Maier, S Keller, S Hinz
Remote Sensing 13 (4), 718, 2021
The contribution of tsunami evacuation analysis to evacuation planning in Chile: Applying a multi-perspective research design
S Kubisch, J Guth, S Keller, MT Bull, L Keller, AC Braun
International journal of disaster risk reduction 45, 101462, 2020
Machine learning regression on hyperspectral data to estimate multiple water parameters
PM Maier, S Keller
2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2018
Supervised Machine Learning Approaches on Multispectral Remote Sensing Data for a Combined Detection of Fire and Burned Area. Remote Sens. 2022, 14, 657
J Florath, S Keller
Remote sensing, 2022
Application of different simulated spectral data and machine learning to estimate the chlorophyll a concentration of several inland waters
PM Maier, S Keller
2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019
Supervised, semi-supervised, and unsupervised learning for hyperspectral regression
FM Riese, S Keller
Hyperspectral image analysis: Advances in machine learning and signal …, 2020
Unsupervised feature selection based on ultrametricity and sparse training data: A case study for the classification of high-dimensional hyperspectral data
PE Bradley, S Keller, M Weinmann
Remote Sensing 10 (10), 1564, 2018
Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data
S Keller, AC Braun, S Hinz, M Weinmann
th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data
S Keller, FM Riese, J Stötzer, PM Maier, S Hinz
arXiv preprint arXiv:1804.09046, 2018
Estimating chlorophyll a concentrations of several inland waters with hyperspectral data and machine learning models
PM Maier, S Keller
arXiv preprint arXiv:1904.02052, 2019
Development of a generic concept to analyze the accessibility of emergency facilities in critical road infrastructure for disaster scenarios: exemplary application for the 2017 …
J Guth, S Wursthorn, AC Braun, S Keller
Natural Hazards 97, 979-999, 2019
Machine learning framework for the estimation of average speed in rural road networks with openstreetmap data
S Keller, R Gabriel, J Guth
ISPRS international journal of geo-information 9 (11), 638, 2020
Hyperspectral benchmark dataset on soil moisture
FM Riese, S Keller
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing …, 2018
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