滨岸带蓝藻水华无人机探测方法研究

Study on Detection Method of Blue Algae Bloom in Coastal Zone by UAV

蓝藻进行探测时易出现影像质量差,探测精度低的情况,对此,研究滨岸带蓝藻水华无人机探测方法,文章以太湖作为研究对象,对太湖蓝藻堆积最严重的贡湖滨岸带展开探测方法研究,通过无人机水面飞行去光斑方法,获取滨岸带高质量照片,利用高表真的蓝藻水面影像拼接技术将无人机照片拼接成高水面覆盖度和高表真性的数字正射影像,采用可见光蓝藻提取方法实现了蓝藻水华的识别与提取。实验结果表明,所提方法总体精度达到93.4%,Kappa系数达到0.8613,证明所提方法具有实用性。

The detection of cyanobacteria is prone to poor image quality and low detection accuracy.In this regard,the detection method of unmanned aerial vehicles(UAVs)for cyanobacteria bloom in the coastal zone is studied.Taking the Taihu Lake Lake as the research object,the detection method research is carried out on the coastal zone of Gonghu Lake,where cyanobacteria accumulate most seriously,to obtain high-quality photos of the coastal zone through the method of removing light spots by UAVs flying on the water surface.The UAV photos are spliced into digital Orthophoto images with high water surface coverage and high surface authenticity using the high surface authenticity cyanobacteria surface Image stitching technology.The visible light cyanobacteria extraction method is used to realize the recognition and extraction of cyanobacteria bloom.The experimental results show that the overall accuracy of the proposed method reaches 93.4%,and the Kappa coefficient reaches 0.8613,proving its practicality.