hyperspectral imaging
http://www.yso.fi/onto/yso/p39290
Related people
Related publications and other outputs
1 of 2
- 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
- Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks (2022) Karila, Kirsi; et al.; A1; OA
- FPI Based Hyperspectral Imager for the Complex Surfaces : Calibration, Illumination and Applications (2022) Raita-Hakola, Anna-Maria; et al.; A1; OA
- HyperBlend : Simulating Spectral Reflectance and Transmittance of Leaf Tissue with Blender (2022) Riihiaho, Kimmo A.; et al.; A4; OA
