国土资源遥感Issue(2)：12-18,7.DOI:10.6046/gtzyyg.2012.02.03
基于动态阈值的HJ-1B图像云检测算法研究
Research on Algorithm of Cloud Detection for HJ - 1B Image Based on Dynamical Thresholding
摘要
Abstract
Through analyzing the annual volatility of cloud detection thresholds and integrating the band characteristics of HJ - 1B, the authors proposed a new algorithm of cloud detection for HJ - 1B image based on dynamical thresholding according to the spectral standard deviation anomaly. Using image registration, band math, linear regression and error analysis, the authors acquired the cloud abnormal regions which could be used to remove cloud pixels from the image. The results show that this approach can detect cloud pixels over different periods and in different scenes successfully,thus promoting the use of HJ -1B data and improving the precision of image classification.关键词
标准差异常/动态阈值/云检测/环境与灾害监测预报小卫星星座1B星(HJ-1B)Key words
standard deviation anomaly/dynamic threshold/cloud detection/HJ - 1B分类
信息技术与安全科学引用本文复制引用
韩杰,杨磊库,李慧芳,梁洪有,马晓红,谢玉娟..基于动态阈值的HJ-1B图像云检测算法研究[J].国土资源遥感,2012,(2):12-18,7.基金项目
河南理工大学矿山空间信息技术国家测绘局重点实验室开放基金资助项目(编号:KLM201112)和中国矿业大学江苏省资源环境信息工程重点实验室开放基金资助项目(编号:JS200907)共同资助. （编号:KLM201112）
