Import Vector Machines for Quantitative Analysis of Hyperspectral Data. - Stefan Suess; Sebastian van der Linden; Pedro J. Leitão; Akpona Okujeni; Björn Waske; Patrick Hostert (IEEE Geosci. Remote. Sens. Lett., 2014)

Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques. - Marcel Schwieder; Pedro J. Leitão; Stefan Suess; Cornelius Senf; Patrick Hostert (Remote. Sens., 2014)

Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP. - Pedro J. Leitão; Marcel Schwieder; Stefan Suess; Akpona Okujeni; Lênio Soares Galvão; Sebastian van der Linden; Patrick Hostert (Remote. Sens., 2015)

The EnMAP-Box - A Toolbox and Application Programming Interface for EnMAP Data Processing. - Sebastian van der Linden; Andreas Rabe; Matthias Held; Benjamin Jakimow; Pedro J. Leitão; Akpona Okujeni; Marcel Schwieder; Stefan Suess; Patrick Hostert (Remote. Sens., 2015)

Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data. - Stefan Suess; Sebastian van der Linden; Akpona Okujeni; Pedro J. Leitão; Marcel Schwieder; Patrick Hostert (Remote. Sens., 2015)

Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression. - Akpona Okujeni; Sebastian van der Linden; Stefan Suess; Patrick Hostert (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)