Sina Keller - RankMe

29 papers C 1Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Learning Framework for Multiclass Segmentation of Photovoltaic Systems. IEEE Trans. Geosci. Remote. Sens. Svea Krikau, Sina Keller
2025	—	`conf`	Machine Learning for Identifying Potential Photovoltaic Installations on Parking Areas. GISTAM Frederick Kistner, Sina Keller
2024	J	`jnl`	Assessing Important Uncertainty Influences of Ground-Based Radar for Bridge Monitoring. IEEE Geosci. Remote. Sens. Lett. Chris Michel, Sina Keller
2024	J	`jnl`	Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis. ISPRS Int. J. Geo Inf. Janine Florath, Jocelyn Chanussot, Sina Keller
2022	—	`conf`	Evaluation Of Transformers And Convolutional Neural Networks For High-Dimensional Hyperspectral Soil Texture Classification. WHISPERS L. Kühnlein, Sina Keller
2022	J	`jnl`	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. Janine Florath, Sina Keller, Rodrigo Abarca-del-Río, Stefan Hinz, Guido Staub, Martin Weinmann
2022	J	`jnl`	Supervised Machine Learning Approaches on Multispectral Remote Sensing Data for a Combined Detection of Fire and Burned Area. Remote. Sens. Janine Florath, Sina Keller
2021	J	`jnl`	Advancing Ground-Based Radar Processing for Bridge Infrastructure Monitoring. Sensors Chris Michel, Sina Keller
2021	J	`jnl`	Deep Learning for Land Cover Change Detection. Remote. Sens. Oliver Sefrin, Felix M. Riese, Sina Keller
2021	J	`jnl`	Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies. Remote. Sens. Philipp M. Maier, Sina Keller, Stefan Hinz
2021	—	`conf`	Optical Remote Sensing for Glacier Monitoring with Respect to Different Snow and Ice Types: A Case Study for the Southern Patagonian Icefield. WHISPERS Janine Florath, Sina Keller, Guido Staub, Martin Weinmann
2020	J	`jnl`	Machine Learning Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data. ISPRS Int. J. Geo Inf. Sina Keller, Raoul Gabriel, Johanna Guth
2020	J	`jnl`	Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control. ISPRS Int. J. Geo Inf. Johanna Guth, Sven Wursthorn, Sina Keller
2020	J	`jnl`	Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data. Remote. Sens. Felix M. Riese, Sina Keller, Stefan Hinz
2019	—	`conf`	Application Of Different Simulated Spectral Data And Machine Learning To Estimate The Chlorophyll A Concentration Of Several Inland Waters. WHISPERS Philipp M. Maier, Sina Keller
2019	J	`jnl`	Application of Different Simulated Spectral Data and Machine Learning to Estimate the Chlorophyll $a$ Concentration of Several Inland Waters. CoRR Philipp M. Maier, Sina Keller
2019	—	`conf`	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 Susanne Kubisch, Johanna Stötzer, Sina Keller, Maria T. Bull, Andreas Braun
2019	J	`jnl`	Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models. CoRR Philipp M. Maier, Sina Keller
2019	—	`conf`	Fuzzy Estimation of Link Travel Time from a Digital Elevation Model and Road Hierarchy Level. GISTAM Johanna Stötzer, Sven Wursthorn, Sina Keller
2019	J	`jnl`	SUSI: Supervised Self-Organizing Maps for Regression and Classification in Python. CoRR Felix M. Riese, Sina Keller
2019	J	`jnl`	Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data. CoRR Felix M. Riese, Sina Keller
2018	—	`conf`	Fusion of Hyper Spectral and Ground Penetrating Radar Data to Estimate Soil Moisture. WHISPERS Felix M. Riese, Sina Keller
2018	J	`jnl`	Fusion of hyperspectral and ground penetrating radar to estimate soil moisture. CoRR Felix M. Riese, Sina Keller
2018	C	`conf`	Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data. IGARSS Felix M. Riese, Sina Keller
2018	J	`jnl`	Is it possible to retrieve soil-moisture content from measured VNIR hyperspectral data? CoRR Sina Keller, Felix M. Riese, Johanna Stötzer, Philipp M. Maier, Stefan Hinz
2018	—	`conf`	Machine Learning Regression on Hyperspectral Data to Estimate Multiple Water Parameters. WHISPERS Philipp M. Maier, Sina Keller
2018	J	`jnl`	Machine learning regression on hyperspectral data to estimate multiple water parameters. CoRR Philipp M. Maier, Sina Keller
2018	J	`jnl`	Unsupervised Feature Selection Based on Ultrametricity and Sparse Training Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data. Remote. Sens. Patrick Erik Bradley, Sina Keller, Martin Weinmann
2016	—	`conf`	Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data. WHISPERS Sina Keller, Andreas Ch. Braun, Stefan Hinz, Martin Weinmann