53 citations · 85 across the 4 of their papers we have counts for
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cs.CV2019★ 53 cited
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…
cs.CV2018★ 16 cited
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…
cs.CV2018★ 9 cited
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…