Guoqi Chai

According to our database1, Guoqi Chai authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
SA-Pmnet: Utilizing Close-Range Photogrammetry Combined with Image Enhancement and Self-Attention Mechanisms for 3D Reconstruction of Forests.
Remote. Sens., January, 2024

2023
Integrating extraction framework and methods of individual tree parameters based on close-range photogrammetry.
Comput. Electron. Agric., December, 2023

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

2022
Estimation and Simulation of Forest Carbon Stock in Northeast China Forestry Based on Future Climate Change and LUCC.
Remote. Sens., 2022

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

Above-Ground Biomass Estimation of Plantation with Different Tree Species Using Airborne LiDAR and Hyperspectral Data.
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

2021
A New CBAM-P-Net Model for Few-Shot Forest Species Classification Using Airborne Hyperspectral Images.
Remote. Sens., 2021

2019
Estimating the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil from MODIS data: Assessing the applicability of the NDVI-DFI model in the typical Xilingol grasslands.
Int. J. Appl. Earth Obs. Geoinformation, 2019


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