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Michael Kuhn
ORCID
Publication Activity (10 Years)
Years Active: 2007-2022
Publications (10 Years): 3
Top Topics
Sequential Monte Carlo
Remotely Sensed
Machine Learning
Prediction Model
Top Venues
Sensors
IEEE Trans. Geosci. Remote. Sens.
Comput. Geosci.
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Publications
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Hoa Thi Pham
,
Joseph L. Awange
,
Michael Kuhn
Evaluation of Three Feature Dimension Reduction Techniques for Machine Learning-Based Crop Yield Prediction Models.
Sensors
22 (17) (2022)
Hoa Thi Pham
,
Joseph L. Awange
,
Michael Kuhn
,
Binh Van Nguyen
,
Luyen K. Bui
Enhancing Crop Yield Prediction Utilizing Machine Learning on Satellite-Based Vegetation Health Indices.
Sensors
22 (3) (2022)
Mehdi Khaki
,
Mick S. Filmer
,
Will E. Featherstone
,
Michael Kuhn
,
Luyen K. Bui
,
Amy L. Parker
A Sequential Monte Carlo Framework for Noise Filtering in InSAR Time Series.
IEEE Trans. Geosci. Remote. Sens.
58 (3) (2020)
Christian Hirt
,
Michael Kuhn
,
Sten Claessens
,
Roland Pail
,
Kurt Seitz
,
Thomas Gruber
Study of the Earth's short-scale gravity field using the ERTM2160 gravity model.
Comput. Geosci.
73 (2014)
Soo-See Chai
,
Jeffrey P. Walker
,
Oleg Makarynskyy
,
Michael Kuhn
,
Bert Veenendaal
,
Geoff A. W. West
Use of Soil Moisture Variability in Artificial Neural Network Retrieval of Soil Moisture.
Remote. Sens.
2 (1) (2010)
Oleg Makarynskyy
,
Michael Kuhn
,
Will E. Featherstone
Long-term sea-level projections with two versions of a global climate model of intermediate complexity and the corresponding changes in the Earth's gravity field.
Comput. Geosci.
33 (8) (2007)