spectral imaging
http://www.yso.fi/onto/yso/p26364
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- Effects of mineral adsorption on the molecular composition of soil dissolved organic matter : Evidence from spectral analyses (2024) Li, Xiaowen; et al.; A1
- Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images (2023) Turkulainen, Emma; et al.; A1; OA
- Kubelka-Munk Model and Stochastic Model Comparison in Skin Physical Parameter Retrieval (2022) Annala, Leevi; et al.; A3; 978-3-030-70787-3
- Unsupervised Numerical Characterization in Determining the Borders of Malignant Skin Tumors from Spectral Imagery (2022) Pölönen, Ilkka; et al.; A3; OA; 978-3-030-70787-3
- Using Wave Propagation Simulations and Convolutional Neural Networks to Retrieve Thin Film Thickness from Hyperspectral Images (2022) Erkkilä; et al.; A3; 978-3-030-70787-3
- A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python (2021) Riihiaho, Kimmo Aukusti; et al.; A1; OA
- Hyperspectral Imaging Reveals Spectral Differences and Can Distinguish Malignant Melanoma from Pigmented Basal Cell Carcinomas : A Pilot Study (2021) Räsänen, Janne; et al.; A1; OA
- Piecewise anomaly detection using minimal learning machine for hyperspectral images (2021) Raita-Hakola, A.-M.; et al.; A4; OA
- Rapid Quantification of Microalgae Growth with Hyperspectral Camera and Vegetation Indices (2021) Salmi, Pauliina; et al.; A1; OA
- Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion (2020) Annala, Leevi; et al.; A1; OA
