A Double Swath Configuration for Improving Throughput and Accuracy of Trait Estimate from UAV Images  

作　　者：Wenjuan Li Alexis Comar Marie Weiss Sylvain Jay Gallian Colombeau Raul Lopez-Lozano Simon Madec Frédéric Baret 

机构地区：[1]HIPHEN,228 Route de l’Aérodrome,84000 Avignon,France [2]INRAE,Avignon Université,UMR EMMAH,84000 Avignon,France [3]ARVALIS Institut du Végétal,3 Rue Joseph et Marie Hackin,75116 Paris,France

出　　处：《Plant Phenomics》2021年第1期378-388,共11页植物表型组学（英文）

摘　　要：Multispectral observations from unmanned aerial vehicles(UAVs)are currently used for precision agriculture and crop phenotyping applications to monitor a series of traits allowing the characterization of the vegetation status.However,the limited autonomy of UAVs makes the completion of flights difficult when sampling large areas.Increasing the throughput of data acquisition while not degrading the ground sample distance(GSD)is,therefore,a critical issue to be solved.We propose here a new image acquisition configuration based on the combination of two focal length(f)optics:an optics with f=4:2 mm is added to the standard f=8 mm(SS:single swath)of the multispectral camera(DS:double swath,double of the standard one).Two flights were completed consecutively in 2018 over a maize field using the AIRPHEN multispectral camera at 52 m altitude.The DS flight plan was designed to get 80%overlap with the 4.2 mm optics,while the SS one was designed to get 80%overlap with the 8 mm optics.As a result,the time required to cover the same area is halved for the DS as compared to the SS.The georeferencing accuracy was improved for the DS configuration,particularly for the Z dimension due to the larger view angles available with the small focal length optics.Application to plant height estimates demonstrates that the DS configuration provides similar results as the SS one.However,for both the DS and SS configurations,degrading the quality level used to generate the 3D point cloud significantly decreases the plant height estimates.

关 键 词：optics OVERLAP ALTITUDE 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]