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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.

, , , , , , , , and . Remote. Sens., 10 (5): 714 (2018)

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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., , , , , , , , and . Remote. Sens., 10 (5): 714 (2018)A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python., , and . Sensors, 21 (4): 1072 (2021)Reflectance Measurement Method Based on Sensor Fusion of Frame-Based Hyperspectral Imager and Time-of-Flight Depth Camera., , , , and . Sensors, 22 (22): 8668 (2022)Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network., , , , and . EMBC, page 1600-1603. IEEE, (2020)Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging., , , , , , , , , and 1 other author(s). Remote. Sens., 9 (3): 185 (2017)FPI Based Hyperspectral Imager for the Complex Surfaces - Calibration, Illumination and Applications., , , , , , , and . Sensors, 22 (9): 3420 (2022)Editorial for the Special Issue "Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions"., , , , , and . Remote. Sens., 11 (14): 1714 (2019)Research literature clustering using diffusion maps., , and . J. Informetrics, 7 (4): 874-886 (2013)Quantification of Errors Generated by Uncertain Data in a Linear Boundary Value Problem Using Neural Networks., and . SIAM/ASA J. Uncertain. Quantification, 11 (4): 1258-1277 (December 2023)Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images., , , , , , , , , and 3 other author(s). Remote. Sens., 15 (20): 4928 (October 2023)