Tracking Forest Disturbance in Northeast China's Cold-Temperate Forests Using a Temporal Sequence of Landsat Data.
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Remote. Sens., September, 2024
SA-Pmnet: Utilizing Close-Range Photogrammetry Combined with Image Enhancement and Self-Attention Mechanisms for 3D Reconstruction of Forests.
Remote. Sens., January, 2024
Individual Tree Species Identification and Crown Parameters Extraction Based on Mask R-CNN: Assessing the Applicability of Unmanned Aerial Vehicle Optical Images.
Remote. Sens., November, 2023
A novel solution for extracting individual tree crown parameters in high-density plantation considering inter-tree growth competition using terrestrial close-range scanning and photogrammetry technology.
Comput. Electron. Agric., June, 2023
ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data.
Remote. Sens., 2022
Estimating Individual Tree Above-Ground Biomass of Chinese Fir Plantation: Exploring the Combination of Multi-Dimensional Features from UAV Oblique Photos.
Remote. Sens., 2022
A novel algorithm of individual tree crowns segmentation considering three-dimensional canopy attributes using UAV oblique photos.
Int. J. Appl. Earth Obs. Geoinformation, 2022