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2020 – today
- 2024
[j11]Janine Florath
, Jocelyn Chanussot, Sina Keller:
Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis. ISPRS Int. J. Geo Inf. 13(4): 107 (2024)- [j10]Chris Michel, Sina Keller:
Assessing Important Uncertainty Influences of Ground-Based Radar for Bridge Monitoring. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - 2022
- [j9]Janine Florath, Sina Keller:
Supervised Machine Learning Approaches on Multispectral Remote Sensing Data for a Combined Detection of Fire and Burned Area. Remote. Sens. 14(3): 657 (2022) - [j8]Janine Florath, Sina Keller, Rodrigo Abarca-del-Río, Stefan Hinz, Guido Staub, Martin Weinmann:
Glacier Monitoring Based on Multi-Spectral and Multi-Temporal Satellite Data: A Case Study for Classification with Respect to Different Snow and Ice Types. Remote. Sens. 14(4): 845 (2022) - [c9]L. Kühnlein, Sina Keller:
Evaluation Of Transformers And Convolutional Neural Networks For High-Dimensional Hyperspectral Soil Texture Classification. WHISPERS 2022: 1-5 - 2021
- [j7]Oliver Sefrin, Felix M. Riese, Sina Keller:
Deep Learning for Land Cover Change Detection. Remote. Sens. 13(1): 78 (2021) - [j6]Philipp M. Maier, Sina Keller, Stefan Hinz:
Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies. Remote. Sens. 13(4): 718 (2021) - [j5]Chris Michel, Sina Keller:
Advancing Ground-Based Radar Processing for Bridge Infrastructure Monitoring. Sensors 21(6): 2172 (2021) - [c8]Janine Florath, Sina Keller, Guido Staub, Martin Weinmann:
Optical Remote Sensing for Glacier Monitoring with Respect to Different Snow and Ice Types: A Case Study for the Southern Patagonian Icefield. WHISPERS 2021: 1-5 - 2020
- [j4]Johanna Guth, Sven Wursthorn, Sina Keller:
Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control. ISPRS Int. J. Geo Inf. 9(1): 55 (2020) - [j3]Sina Keller, Raoul Gabriel, Johanna Guth:
Machine Learning Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data. ISPRS Int. J. Geo Inf. 9(11): 638 (2020) - [j2]Felix M. Riese, Sina Keller, Stefan Hinz:
Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data. Remote. Sens. 12(1): 7 (2020)
2010 – 2019
- 2019
- [c7]Johanna Stötzer, Sven Wursthorn, Sina Keller:
Fuzzy Estimation of Link Travel Time from a Digital Elevation Model and Road Hierarchy Level. GISTAM 2019: 15-25 - [c6]Susanne Kubisch, Johanna Stötzer, Sina Keller, Maria T. Bull, Andreas Braun:
Combining a social science approach and GIS-based simulation to analyse evacuation in natural disasters: A case study in the Chilean community of Talcahuano. ISCRAM 2019 - [c5]Philipp M. Maier, Sina Keller:
Application Of Different Simulated Spectral Data And Machine Learning To Estimate The Chlorophyll A Concentration Of Several Inland Waters. WHISPERS 2019: 1-5 - [i7]Felix M. Riese, Sina Keller:
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data. CoRR abs/1901.04846 (2019) - [i6]Felix M. Riese, Sina Keller:
SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python. CoRR abs/1903.11114 (2019) - [i5]Philipp M. Maier, Sina Keller:
Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models. CoRR abs/1904.02052 (2019) - [i4]Philipp M. Maier, Sina Keller:
Application of Different Simulated Spectral Data and Machine Learning to Estimate the Chlorophyll $a$ Concentration of Several Inland Waters. CoRR abs/1905.12563 (2019) - 2018
- [j1]Patrick Erik Bradley, Sina Keller, Martin Weinmann:
Unsupervised Feature Selection Based on Ultrametricity and Sparse Training Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data. Remote. Sens. 10(10): 1564 (2018) - [c4]Felix M. Riese, Sina Keller:
Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data. IGARSS 2018: 6151-6154 - [c3]Philipp M. Maier, Sina Keller:
Machine Learning Regression on Hyperspectral Data to Estimate Multiple Water Parameters. WHISPERS 2018: 1-5 - [c2]Felix M. Riese, Sina Keller:
Fusion of Hyper Spectral and Ground Penetrating Radar Data to Estimate Soil Moisture. WHISPERS 2018: 1-5 - [i3]Felix M. Riese, Sina Keller:
Fusion of hyperspectral and ground penetrating radar to estimate soil moisture. CoRR abs/1804.05273 (2018) - [i2]Sina Keller, Felix M. Riese, Johanna Stötzer, Philipp M. Maier, Stefan Hinz:
Is it possible to retrieve soil-moisture content from measured VNIR hyperspectral data? CoRR abs/1804.09046 (2018) - [i1]Philipp M. Maier, Sina Keller:
Machine learning regression on hyperspectral data to estimate multiple water parameters. CoRR abs/1805.01361 (2018) - 2016
- [c1]Sina Keller, Andreas Ch. Braun, Stefan Hinz, Martin Weinmann:
Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data. WHISPERS 2016: 1-5
Coauthor Index
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