中南民族大学学报（自然科学版）2022，Vol.41Issue(6)：668-675,8.DOI:10.20056/j.cnki.ZNMDZK.20220605
城市黑臭水体的无人机高光谱遥感识别
Recognition of urban black and odorous water by UAV hyperspectral remote sensing
摘要
Abstract
A method for black and odorous water（BOW）identification using hyperspectral data acquired by unmanned aerial vehicles（UAV）was proposed for the first time in this paper. The remote sensing reflectance of water body measured by UAV hyperspectral sensor Gaiasky-mini2-VN and in situ was analyzed to verify the spectrum obtained by the UAV. And BOW recognition algorithm based on UAV data was established according to BOW spectral characteristics. The results demonstrated that during simultaneous observation the remote sensing reflectivity of the water body measured by the two methods in the range of 500?900 nm were almost the same，with R2 more than 0.94 and RMSE less than 0.003. The normalized ratio of band green to band red could better describe the level of black and odor for water body. It is indicated that the accurate and real-time monitoring of BOW can be realized by the UAV with four band sensors of blue，green，red and near red.关键词
黑臭水体/无人机/高光谱/遥感识别Key words
black and odorous water/UAV/hyperspectral data/remote sensing recognition分类
资源环境引用本文复制引用
买日阿巴·吐尔逊,刘振宇,赵文静,雷斌..城市黑臭水体的无人机高光谱遥感识别 [J].中南民族大学学报（自然科学版）,2022,41(6):668-675,8.基金项目
广东省自然科学基金资助项目（2020A1515011076）；中央高校基本科研业务费专项资金资助项目 （）
