DEEP MULTI-TASK LEARNING FOR TREE GENERA CLASSIFICATION

6 citations as recorded by crossref.

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2. Review on Convolutional Neural Networks (CNN) in vegetation remote sensing T. Kattenborn et al.
3. Rapid field identification of cites timber species by deep learning K. Olschofsky & M. Köhl
4. Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks A. Rizaldy et al.
5. Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Inventories for the Complex, Mixed-Species Forests of the Eastern United States E. Ayrey et al.
6. Individual tree species identification using Dense Convolutional Network (DenseNet) on multitemporal RGB images from UAV S. Natesan et al.