Research on visualization of cotton canopy structure and extraction of feature parameters based on dual-perspective point cloud data-Reference-Cited by-同舟云学术

Research on visualization of cotton canopy structure and extraction of feature parameters based on dual-perspective point cloud data

Published:2024-08-09 Issue:17 Volume:45 Page:6043-6076
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Hu Yongjian¹^ORCID,Wen Sheng¹²,Zhang Lei³,Lan Yubin²⁴,Chen Xiaoshuai¹

Affiliation:

1. College of Engineering, South China Agricultural University, Guangzhou, China

2. National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, South China Agricultural University, Guangzhou, China

3. College of Agronomy, South China Agricultural University, Guangzhou, China

4. College of Electronic Engineering, South China Agricultural University, Guangzhou, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Earmarked Fund for China Agriculture Research System

National Natural Science Foundation of China

Scientific and Technological Planning Project of Guangzhou City

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2384099

Reference53 articles.

1. Automated Feature-Based Down-Sampling Approaches for Fine Registration of Irregular Point Clouds

2. Another efficient algorithm for convex hulls in two dimensions

3. Fast Statistical Outlier Removal Based Method for Large 3D Point Clouds of Outdoor Environments

4. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

5. Method for registration of 3-D shapes