Katalin Blix

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Machine Learning

Polarimetric Sar

Regression Methods

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Martin H. Skjelvareid, Eli Rinde, Kasper Hancke, Katalin Blix, Galice G. Hoarau
Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation. IGARSS (2023)
Muhammad Asim, Atsushi Matsuoka, Pål Gunnar Ellingsen, Camilla Brekke, Torbjørn Eltoft, Katalin Blix
A New Spectral Harmonization Algorithm for Landsat-8 and Sentinel-2 Remote Sensing Reflectance Products Using Machine Learning: A Case Study for the Barents Sea (European Arctic). IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Huan Li, Katalin Blix, Boglárka Somogyi, Viktor R. Tóth
Retrieving Chlorophyll-A Concentration For Lake Balaton With Landsat Based On GEE. IGARSS (2023)
Marcela Pereira-Sandoval, Ana B. Ruescas, Jorge García-Jimenez, Katalin Blix, Jesús Delegido, José Moreno
Supervised Classifications of Optical Water Types in Spanish Inland Waters. Remote. Sens. 14 (21) (2022)
Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls
Learning Relevant Features of Optical Water Types. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft
Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data. IEEE Trans. Geosci. Remote. Sens. 59 (6) (2021)
Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft
Comparison of Machine Learning Methods for Predicting Quad-Polarimetric Parameters from Dual-Polarimetric Sar Data. IGARSS (2020)
Katalin Blix
Machine Learning Classification, Feature Ranking and Regression for Water Quality Parameters Retrieval in Various Optical Water Types from Hyper-Spectral Observations. IGARSS (2020)
Katalin Blix, Juan Li, Philippe Massicotte, Atsushi Matsuoka
Developing a New Machine-Learning Algorithm for Estimating Chlorophyll-a Concentration in Optically Complex Waters: A Case Study for High Northern Latitude Waters by Using Sentinel 3 OLCI. Remote. Sens. 11 (18) (2019)
Katalin Blix, Torbjørn Eltoft
A Generalized Chlorophyll-A Estimation Model for Complexity-Diverse Arctic Waters. IGARSS (2019)
Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft
Up-Scaling from Quad-Polarimetric to Dual-Polarimetric SAR Data Using Machine Learning Gaussian Process Regression. IGARSS (2018)
Katalin Blix, Torbjørn Eltoft
Evaluation of Feature Ranking and Regression Methods for Oceanic Chlorophyll-a Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (5) (2018)
Katalin Blix, Torbjørn Eltoft
Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval. Remote. Sens. 10 (5) (2018)
Katalin Blix, Gustau Camps-Valls, Robert Jenssen
Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (4) (2017)
Katalin Blix, Gustau Camps-Valls, Robert Jenssen
Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction. IGARSS (2015)