Using CNN (convolutional neural networks) to map forest tree species in high resolution UAV-based RGB-imagery.
The portion that will be used for training will be cropped to 256x256 and augmented then used.
Expirement 1: Binary classifier using CNN U-Net
Jump to the notebook here or on GitHub.
DATA :Nguyen, Ha Trang, Diez, Yago, Lopez Caceres, Maximo Larry, Kentsch, Sarah, Moritake, Koma, & Shu, Hase. (2020). Dataset of Individual Sick Fir Detection using Computer Vision and Deep Learning.https://doi.org/10.5281/zenodo.4054338
Architecture of CNN U-Net: Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks; Felix Schiefer, Teja Kattenborn, Annett Frick, Julian Frey, Peter Schall, Barbara Koch, Sebastian Schmidtlein; ISPRS Journal of Photogrammetry and Remote Sensing, Volume 170, 2020, Pages 205-215, ISSN 0924-2716; https://doi.org/10.1016/j.isprsjprs.2020.10.015