Cargando…

Experimental Study of Multispectral Characteristics of an Unmanned Aerial Vehicle at Different Observation Angles

This study investigates multispectral characteristics of an unmanned aerial vehicle (UAV) at different observation angles by experiment. The UAV and its engine are tested on the ground in the cruise state. Spectral radiation intensities at different observation angles are obtained in the infrared ba...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zheng, Haijing, Bai, Tingzhu, Wang, Quanxi, Cao, Fengmei, Shao, Long, Sun, Zhaotian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855085/ https://www.ncbi.nlm.nih.gov/pubmed/29389880 http://dx.doi.org/10.3390/s18020428

Ejemplares similares

Multispectral Detection of Commercial Unmanned Aerial Vehicles
por: Farlik, Jan, et al.
Publicado: (2019)

Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image
por: Sun, Qian, et al.
Publicado: (2019)

Estimation of Peanut Leaf Area Index from Unmanned Aerial Vehicle Multispectral Images
por: Qi, Haixia, et al.
Publicado: (2020)

Development of a VNIR/SWIR Multispectral Imaging System for Vegetation Monitoring with Unmanned Aerial Vehicles
por: Jenal, Alexander, et al.
Publicado: (2019)

Identification and Comprehensive Evaluation of Resistant Weeds Using Unmanned Aerial Vehicle-Based Multispectral Imagery
por: Xia, Fulin, et al.
Publicado: (2022)

Estimating potassium in potato plants based on multispectral images acquired from unmanned aerial vehicles
por: Ma, YanPeng, et al.
Publicado: (2023)

Handbook of unmanned aerial vehicles
por: Valavanis, Kimon, et al.
Publicado: (2015)

Guidance of Unmanned Aerial Vehicles
por: Yanushevsky, Rafael
Publicado: (2011)

Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping
por: Hassan, Muhammad Adeel, et al.
Publicado: (2021)

Multispectral imaging and unmanned aerial systems for cotton plant phenotyping
por: Xu, Rui, et al.
Publicado: (2019)

Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery
por: Lu, Ning, et al.
Publicado: (2019)

International Symposium on Unmanned Aerial Vehicles
por: Valavanis, Kimon, et al.
Publicado: (2009)

Unmanned aerial vehicles: embedded control
por: Lozano, R
Publicado: (2010)

Using Unmanned Aerial Vehicle-Based Multispectral Image Data to Monitor the Growth of Intercropping Crops in Tea Plantation
por: Shi, Yujie, et al.
Publicado: (2022)

Multispectral remote sensing for accurate acquisition of rice phenotypes: Impacts of radiometric calibration and unmanned aerial vehicle flying altitudes
por: Luo, Shanjun, et al.
Publicado: (2022)

Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain
por: Vélez, Sergio, et al.
Publicado: (2023)

Measurement of Unmanned Aerial Vehicle Attitude Angles Based on a Single Captured Image
por: Zhang, Jin, et al.
Publicado: (2018)

Bio-inspired computation in unmanned aerial vehicles
por: Duan, Haibin, et al.
Publicado: (2014)

Recent advances in research on unmanned aerial vehicles
por: Fahroo, Fariba, et al.
Publicado: (2013)

Reliability and Maintenance Analysis of Unmanned Aerial Vehicles †
por: Petritoli, Enrico, et al.
Publicado: (2018)

An Optimal Routing Algorithm for Unmanned Aerial Vehicles
por: Kim, Sooyeon, et al.
Publicado: (2021)

Microphones as Airspeed Sensors for Unmanned Aerial Vehicles
por: Makaveev, Momchil, et al.
Publicado: (2023)

Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice
por: Zheng, Hengbiao, et al.
Publicado: (2018)

Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring
por: Jiang, Jiale, et al.
Publicado: (2019)

Autonomous Vision-Based Aerial Grasping for Rotorcraft Unmanned Aerial Vehicles
por: Lin, Lishan, et al.
Publicado: (2019)

Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery
por: Liu, Jikai, et al.
Publicado: (2022)

Precision wildlife monitoring using unmanned aerial vehicles
por: Hodgson, Jarrod C., et al.
Publicado: (2016)

Vision-Based SLAM System for Unmanned Aerial Vehicles
por: Munguía, Rodrigo, et al.
Publicado: (2016)

Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses
por: Caturegli, Lisa, et al.
Publicado: (2016)

Applications of unmanned aerial vehicles in intertidal reef monitoring
por: Murfitt, Sarah L., et al.
Publicado: (2017)

The Use of Unmanned Aerial Vehicles in Remote Sensing Systems †
por: Olejnik, Aleksander, et al.
Publicado: (2020)

Registering Unmanned Aerial Vehicle Videos in the Long Term
por: Lemaire, Pierre, et al.
Publicado: (2021)

A Review on Auditory Perception for Unmanned Aerial Vehicles
por: Martinez-Carranza, Jose, et al.
Publicado: (2020)

Applications of unmanned aerial vehicles in Antarctic environmental research
por: Tovar-Sánchez, Antonio, et al.
Publicado: (2021)

Complex Environment Path Planning for Unmanned Aerial Vehicles
por: Zhang, Jing, et al.
Publicado: (2021)

Recent Advances in Unmanned Aerial Vehicles: A Review
por: Ahmed, Faiyaz, et al.
Publicado: (2022)

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview
por: Dias Santana, Guilherme Marcel, et al.
Publicado: (2021)

Threats from and Countermeasures for Unmanned Aerial and Underwater Vehicles
por: Khawaja, Wahab, et al.
Publicado: (2022)

Distributed Blockchain-Based Platform for Unmanned Aerial Vehicles
por: Ahamed Ahanger, Tariq, et al.
Publicado: (2022)

Dataset for the cumulative unmanned aerial vehicle routing problem
por: Kyriakakis, Nikolaos A., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_4mou9enpffmt3uhuh39o8923j3