53 citations · 85 across the 4 of their papers we have counts for
4 papers
SuSi: Supervised Self-Organizing Maps for Regression and Classification in Python
Felix M. Riese, Sina Keller
In many research fields, the sizes of the existing datasets vary widely. Hence, there is a need for machine learning techniques which are well-suited for these different datasets.…
Soil Texture Classification with 1D Convolutional Neural Networks based on Hyperspectral Data
Felix M. Riese, Sina Keller
Soil texture is important for many environmental processes. In this paper, we study the classification of soil texture based on hyperspectral data. We develop and implement three 1…
Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data
Sina Keller, Felix M. Riese, Johanna Stötzer +2
In this paper, we investigate the potential of estimating the soil-moisture content based on VNIR hyperspectral data combined with LWIR data. Measurements from a multi-sensor field…
Fusion of hyperspectral and ground penetrating radar to estimate soil moisture
Felix M. Riese, Sina Keller
In this contribution, we investigate the potential of hyperspectral data combined with either simulated ground penetrating radar (GPR) or simulated (sensor-like) soil-moisture data…