摘要
首次开展了无人机高光谱数据的黑臭水体识别研究,利用无人机高光谱传感器Gaiasky-mini2-VN和现场观测手段,分别获取了水体遥感反射率,比对以验证无人机获取光谱;根据高光谱数据,建立了黑臭水体识别算法.结果表明:同步观测时,两种方式获取的500~900 nm水体遥感反射率基本一致,R^(2)大于0.94,RMSE小于0.003;绿红波段反射率的归一化比值能更好地区分水体的黑臭程度.说明利用携带蓝、绿、红和近红这4个波段传感器的无人机可实现对黑臭水体准确和实时监管.
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 R^(2) 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.
作者
买日阿巴·吐尔逊
刘振宇
赵文静
雷斌
TURSUN Marhaba;LIU Zhenyu;ZHAO Wenjing;LEI Bin(College of Resources and Environment,South-Central Minzu University,Wuhan 430074,China;South China Institute of Environmental Science,Ministry of Ecology and Environment,Guangzhou 510530,China)
出处
《中南民族大学学报（自然科学版）》
CAS
北大核心
2022年第6期668-675,共8页
Journal of South-Central University for Nationalities：Natural Science Edition
基金
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(CZQ20016)。
关键词
黑臭水体
无人机
高光谱
遥感识别
black and odorous water
UAV
hyperspectral data
remote sensing recognition
作者简介
通信作者:刘振宇(1983-),男,讲师,博士,研究方向:水色遥感,E-mail:sdlylzy@whu.edu.cn。
