Michael Kuhn

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 4

Top Topics

Sequential Monte Carlo

Prediction Model

Geometric Properties

Noise Filtering

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Comput. Geosci.

Geo spatial Inf. Sci.

Publications

Xiao-Le Deng, Wenbin Shen, Michael Kuhn, Christian Hirt, Roland Pail
Sensing the global CRUST1.0 Moho by gravitational curvatures of crustal mass anomalies. Geo spatial Inf. Sci. 27 (2) (2024)
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)