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Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion.

L. Annala, E. Honkavaara, S. Tuominen, and I. Pölönen. Remote Sensing, 12 (2): 283 (2020)

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Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity.S. Tuominen, R. Näsi, E. Honkavaara, A. Balazs, T. Hakala, N. Viljanen, I. Pölönen, H. Saari, and H. Ojanen. Remote Sensing, 10 (5): 714 (2018)Research literature clustering using diffusion maps.P. Nieminen, I. Pölönen, and T. Sipola. J. Informetrics, 7 (4): 874-886 (2013)Editorial for the Special Issue "Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions".E. Honkavaara, K. Karantzalos, X. Liang, E. Nocerino, I. Pölönen, and P. Rönnholm. Remote Sensing, 11 (14): 1714 (2019)Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture.E. Honkavaara, H. Saari, J. Kaivosoja, I. Pölönen, T. Hakala, P. Litkey, J. Mäkynen, and L. Pesonen. Remote Sensing, 5 (10): 5006-5039 (2013)Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion.L. Annala, E. Honkavaara, S. Tuominen, and I. Pölönen. Remote Sensing, 12 (2): 283 (2020)Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging.O. Nevalainen, E. Honkavaara, S. Tuominen, N. Viljanen, T. Hakala, X. Yu, J. Hyyppä, H. Saari, I. Pölönen, N. Imai and 1 other author(s). Remote Sensing, 9 (3): 185 (2017)Delineation of malignant skin tumors by hyperspectral imaging using diffusion maps dimensionality reduction.V. Zheludev, I. Pölönen, N. Neittaanmäki-Perttu, A. Averbuch, P. Neittaanmäki, M. Grönroos, and H. Saari. Biomed. Signal Proc. and Control, (2015)Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV).E. Honkavaara, M. Eskelinen, I. Pölönen, H. Saari, H. Ojanen, R. Mannila, C. Holmlund, T. Hakala, P. Litkey, T. Rosnell and 2 other author(s). IEEE Trans. Geoscience and Remote Sensing, 54 (9): 5440-5454 (2016)Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network.I. Pölönen, L. Annala, S. Rahkonen, O. Nevalainen, E. Honkavaara, S. Tuominen, N. Viljanen, and T. Hakala. WHISPERS, page 1-5. IEEE, (2018)

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Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion.

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Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion.