hyperspectral imaging
http://www.yso.fi/onto/yso/p39290
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Related publications and other outputs
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- A Computational Approach to Bio-optical Functional Group Classification of Phytoplankton in Inland Waters (2024) Naik, Pritish; et al.; O1; OA
- Discriminating basal cell carcinoma and Bowen's disease from benign skin lesions with a 3D hyperspectral imaging system and convolutional neural networks (2024) Lindholm, Vivian; et al.; B1; OA
- Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images (2023) Turkulainen, Emma; et al.; A1; OA
- Deep learning architectures for hyperspectral imaging applications (2023) Rahkonen, Samuli; G5; OA; 978-951-39-9299-6
- HyperBlend leaf simulator : improvements on simulation speed, generalizability, and parameterization (2023) Riihiaho, Kimmo A.; et al.; A1; OA
- Parameter Optimization for Low-Rank Matrix Recovery in Hyperspectral Imaging (2023) Wolfmayr, Monika; A1; OA
- Assessment of microalgae species, biomass, and distribution from spectral images using a convolution neural network (2022) Salmi, Pauliina; et al.; A1; OA
- Differentiating Malignant from Benign for Melanocytic and Non-melanocytic Skin Tumors : A Pilot Study on Hyperspectral Imaging and Convolutional Neural Networks (2022) Lindholm, Vivian; et al.; O1; OA
- Differentiating Malignant from Benign Pigmented or Non-Pigmented Skin Tumours : A Pilot Study on 3D Hyperspectral Imaging of Complex Skin Surfaces and Convolutional Neural Networks (2022) Lindholm, Vivian; et al.; A1; OA
- Discriminating Basal Cell Carcinoma and Bowen’s Disease with Novel Hyperspectral Imaging System and Convolutional Neural Networks (2022) Salmivuori, Mari; et al.; O1; OA
