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Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression
Generating synthetically mixed data from library spectra provides a direct means to train empirical regression models for subpixel …
Akpona Okujeni
,
Sebastian Linden
,
Stefan Süß
,
Patrick Hostert
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Support vector regression and synthetically mixed training data for quantifying urban land cover
Exploiting imaging spectrometer data with machine learning algorithms has been demonstrated to be an excellent choice for mapping …
Akpona Okujeni
,
Sebastian Linden
,
Laurent Tits
,
Ben Somers
,
Patrick Hostert
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Uncovering land-use dynamics driven by human decision-making – A combined model approach using cellular automata and system dynamics
This paper introduces an enhancement of a cellular automata (CA) model by integrating system dynamics (SD) to incorporate household …
S. Lauf
,
D. Haase
,
Patrick Hostert
,
T. Lakes
,
B. Kleinschmit
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