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Tree Species Classification Using Ground-Based LiDAR Data by Various Point Cloud Deep Learning Methods.

, , , , , , и . Remote. Sens., 14 (22): 5733 (2022)

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Chen Chen

Chen Chen

Shih Chen Chen

Yi-Chen Chen

Chen-Loung Chen

 

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Forest Stand Height Estimation Using Ziyuan-3 Tri-Stereo Imagery and Lidar., , , , , , , и . IGARSS, стр. 6681-6684. IEEE, (2019)Terrain effect correction method for Insar ILU image., , , , , и . IGARSS, стр. 79-82. IEEE, (2017)Eigen decomposition parameter based forest mapping using Radarsat-2 PolSAR data., , , , , , , и . IGARSS, стр. 4784-4787. IEEE, (2010)The Synergetic Estimation Approach of Forest Above Ground Biomass Based on X-Band Insar and P-Band Polsar Data., , , , , и . IGARSS, стр. 9018-9021. IEEE, (2018)Forest AGB Estimation Based on Tomosar Backscatter Power Distribution Law of Airborne P-Band Data., , , , , и . IGARSS, стр. 4235-4238. IEEE, (2024)Data Augmentation in Prototypical Networks for Forest Tree Species Classification Using Airborne Hyperspectral Images., , , , и . IEEE Trans. Geosci. Remote. Sens., (2022)Three-stage terrain correction method for polarimetric SAR data., , , , и . IGARSS, стр. 7549-7552. IEEE, (2016)Forest above ground biomass estimation from P-band tomography data., , , , и . IGARSS, стр. 21-23. IEEE, (2016)Improvement of Biome-BGC model by incorporation and data assimilation., , , и . IGARSS, стр. 1378-1381. IEEE, (2016)Comparison of estimating forest above-ground biomass over montane area by two non-parametric methods., , , , , , и . IGARSS, стр. 741-744. IEEE, (2014)