Sina Keller

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Supervised Feature Selection

Top Venues

ISPRS Int. J. Geo Inf.

Publications

Chris Michel, Sina Keller
Assessing Important Uncertainty Influences of Ground-Based Radar for Bridge Monitoring. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
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) (2024)
Janine Florath, Sina Keller, Rodrigo Abarca-del-Rio, 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) (2022)
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) (2022)
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) (2021)
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)
Chris Michel, Sina Keller
Advancing Ground-Based Radar Processing for Bridge Infrastructure Monitoring. Sensors 21 (6) (2021)
Oliver Sefrin, Felix M. Riese, Sina Keller
Deep Learning for Land Cover Change Detection. Remote. Sens. 13 (1) (2021)
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) (2020)
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) (2020)
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) (2020)
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)
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 (2019)
Philipp M. Maier, Sina Keller
Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models. CoRR (2019)
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)
Felix M. Riese, Sina Keller
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data. CoRR (2019)
Johanna Stötzer, Sven Wursthorn, Sina Keller
Fuzzy Estimation of Link Travel Time from a Digital Elevation Model and Road Hierarchy Level. GISTAM (2019)
Felix M. Riese, Sina Keller
SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python. CoRR (2019)
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 (2018)
Felix M. Riese, Sina Keller
Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data. IGARSS (2018)
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) (2018)
Felix M. Riese, Sina Keller
Fusion of Hyper Spectral and Ground Penetrating Radar Data to Estimate Soil Moisture. WHISPERS (2018)
Philipp M. Maier, Sina Keller
Machine learning regression on hyperspectral data to estimate multiple water parameters. CoRR (2018)
Felix M. Riese, Sina Keller
Fusion of hyperspectral and ground penetrating radar to estimate soil moisture. CoRR (2018)
Philipp M. Maier, Sina Keller
Machine Learning Regression on Hyperspectral Data to Estimate Multiple Water Parameters. WHISPERS (2018)
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)