华北水利水电大学学报（自然科学版）2025，Vol.46Issue(2)：1-12,12.DOI:10.19760/j.ncwu.zk.2025017
蓝藻水华高精度遥感目视解译技术改进及业务化应用
Improvements in High-precision Remote Sensing Visual Interpretation Techniques for Cyanobacterial Algal Blooms and Their Operational Applications
摘要
Abstract
While satellite-based automated methods for Cyanobacterial algal blooms(CyanoABs)detection face operational limitations in meeting ecological monitoring requirements.At present,the most accurate remote sensing monitoring method for CyanoABs is visual interpretation by experienced experts,but inexperienced personnel may generate random errors in interpre-tation,making it difficult to support high-precision operational applications.To address these challenges,this paper examines the factors influencing the extraction of CyanoABs through visual interpretation and develops a technical workflow.The pro-posed workflow comprises image preprocessing,CyanoABs extraction,and result export,aiming to achieve high-precision and standardized extraction of CyanoABs.It is applicable to various types of multispectral satelliteremote sensing data.Building on this workflow,this paper develops a visual interpretation-based assistant software for CyanoABs extraction.The software fea-tures a user-friendly graphical interface and supports the extraction of CyanoABs from various remote sensing satellite images.It enhances the efficiency of visual interpretation for CyanoABs and offers technical support for operational monitoring based on satellite remote sensing.关键词
蓝藻水华/目视解译/技术流程/软件Key words
cyanobacterial algal blooms/remote sensing visual interpretation/operational workflow/monitoring software分类
计算机与自动化引用本文复制引用
穆昀昌,李俊生,赵焕,朱晓迪,张方方,王胜蕾..蓝藻水华高精度遥感目视解译技术改进及业务化应用[J].华北水利水电大学学报（自然科学版）,2025,46(2):1-12,12.基金项目
国家重点研发计划项目(2021YFB3901202). （2021YFB3901202）
