华南农业大学学报2016，Vol.37Issue(6)：16-22,7.DOI:10.7671/j.issn.1001-411X.2016.06.003
基于可见光波段的无人机超低空遥感图像处理
Low altitude unmanned aerial vehicle remote sensing image processing based on visible band
摘要
Abstract
Objective]The feasibility of agricultural information extraction and analysis based on low cost agricultural visible band platforms with low altitude remote sensing was investigated to provide a technical support for precision spraying and monitoring with unmanned aerial vehicles ( UAVs) .[Method]A series of tests were conducted to study the visible light remote sensing images that contained only red, blue and green bands.First, Zhang correction method was used to get the distortion matrix of camera and to cor-rect images.Then, the visible vegetation indices were extracted from corrected images.Finally, by ana-lyzing the spectral characteristics of low altitude farmland visible images of vegetation and non-vegetation, the vegetation information was extracted from visible band based on low altitude remote sensing images.[Result]Vegetation was separated from non-vegetation area with farmland vegetation index extraction.[Conclusion] Agricultural information acquisition system based on visible light low altitude remote sens-ing is applicable and can provide a reference for the development of low cost visible band monitoring sys-tem with low altitude remote sensing.关键词
无人机/可见光波段/植被信息提取/图像校正/超低空遥感/精准农业Key words
UAV/visible band/vegetation information extraction/image correction/low altitude remote sensing/precision agriculture分类
农业科技引用本文复制引用
邓继忠,任高生,兰玉彬,黄华盛,张亚莉..基于可见光波段的无人机超低空遥感图像处理[J].华南农业大学学报,2016,37(6):16-22,7.基金项目
国家重点研发计划项目（2016YFD0200700）；国家自然科学基金（41471351）；广东省科技计划项目 （）
