IspecHyper多旋翼无人机高光谱影像处理方法研究
Research on Hyperspectral Image Processing Method of IspecHyper Multi-rotor UAV
马灿达 1苏秋群 1谢国雪 1黄启厅 1杨绍锷 1张秀龙 1林垚君1
作者信息
- 1. 广西农业科学院农业科技信息研究所,广西南宁 530007
- 折叠
摘要
为解决IspecHyper(莱森光学)多旋翼无人机高光谱成像系统缺乏数据处理配套软件,采集多航带高光谱数据误差大、坐标缺失、无法自动拼接等问题,以武鸣区太平镇角龙村柑橘种植基地为研究区,开展IspecHyper多旋翼无人机高光谱影像处理方法研究.首先,利用IspecHyper-VM200成像系统获取研究区高清照片和多航带高光谱影像数据;其次,以高清照片为数据源,通过PXI4D Mapper软件预处理和ENVI软件影像几何校正,形成高分辨率无人机正射影像;最后,利用ENVI软件裁剪多航带高光谱影像扭曲边界数据,以无人机正射影像为基准完成几何校正,进而通过影像镶嵌和光谱转换计算,形成高光谱反射率影像产品.结果表明,该研究形成的技术方法可有效解决IspecHyper多旋翼无人机高光谱影像处理存在问题,同时为无人机高光谱影像处理提供技术参考.
Abstract
In order to solve the problems of IspecHyper multi-rotor UAV hyperspectral imaging system,such as lack of data processing sup-porting software,large error in collecting multi-band hyperspectral data,lack of coordinates,and inability to automatically stitch.Taking the citrus planting base of Jiaolong Village,Taiping Town,Wuming District as the research area,this paper studies the hyperspectral image pro-cessing method of IspecHyper multi-rotor UAV.Firstly,the IspecHyper-VM200 imaging system was used to obtain high-definition photos and multi-band hyperspectral image data of the study area.Secondly,using high-definition photos as data sources,high-resolution UAV orthopho-tos were formed by PXI4D Mapper software preprocessing and ENVI software image geometric correction.Finally,the ENVI software was used to cut the distorted boundary data of multi-band hyperspectral images,and the geometric correction was completed based on the UAV orthopho-to image,and then the hyperspectral reflectance image product was formed through image mosaic and spectral conversion calculation.The ex-perimental results show that the technical method formed in this paper can effectively solve the problems of hyperspectral image processing of IspecHyper multi-rotor UAV,and provide technical reference for hyperspectral image processing of UAV.
关键词
遥感/IspecHyper/无人机/高光谱影像/图像处理Key words
Remote sensing/IspecHyper/Unmanned aerial vehicle/Hyperspectral/Image processing引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据