Katalin Blix

According to our database, Katalin Blix authored at least 15 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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).

Muhammad Asim, Atsushi Matsuoka, Pål Gunnar Ellingsen, Camilla Brekke, Torbjørn Eltoft, Katalin Blix

IEEE Trans. Geosci. Remote. Sens., 2023

Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation.

Martin H. Skjelvareid, Eli Rinde, Kasper Hancke, Katalin Blix, Galice G. Hoarau

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Retrieving Chlorophyll-A Concentration For Lake Balaton With Landsat Based On GEE.

Huan Li, Katalin Blix, Boglárka Somogyi, Viktor R. Tóth

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Supervised Classifications of Optical Water Types in Spanish Inland Waters.

Marcela Pereira-Sandoval, Ana B. Ruescas, Jorge García-Jimenez, Katalin Blix, Jesús Delegido, José Moreno

Remote. Sens., 2022

Learning Relevant Features of Optical Water Types.

Katalin Blix, Ana Belen Ruescas, Juan Emmanuel Johnson, Gustau Camps-Valls

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data.

Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft

IEEE Trans. Geosci. Remote. Sens., 2021

2020

Comparison of Machine Learning Methods for Predicting Quad-Polarimetric Parameters from Dual-Polarimetric Sar Data.

Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Machine Learning Classification, Feature Ranking and Regression for Water Quality Parameters Retrieval in Various Optical Water Types from Hyper-Spectral Observations.

Katalin Blix

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

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.

Katalin Blix, Juan Li, Philippe Y. Massicotte, Atsushi Matsuoka

Remote. Sens., 2019

A Generalized Chlorophyll-A Estimation Model for Complexity-Diverse Arctic Waters.

Katalin Blix, Torbjørn Eltoft

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Evaluation of Feature Ranking and Regression Methods for Oceanic Chlorophyll-a Estimation.

Katalin Blix, Torbjørn Eltoft

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval.

Katalin Blix, Torbjørn Eltoft

Remote. Sens., 2018

Up-Scaling from Quad-Polarimetric to Dual-Polarimetric SAR Data Using Machine Learning Gaussian Process Regression.

Katalin Blix, Martine Mostervik Espeseth, Torbjørn Eltoft

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation.

Katalin Blix, Gustau Camps-Valls, Robert Jenssen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2015

Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction.

Katalin Blix, Gustau Camps-Valls, Robert Jenssen

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015