摘要
更新地球空间信息需要晴空影像,云层遮挡是遥感影像中的"盲区",如何正确有效地分离云像元及其晴空像元,一直以来都是遥感影像处理中的热点。文章以MODIS影像云检测算法研究为核心,采用多光谱阈值及K-means聚类两类云检测算法,基于MATLAB软件平台上,实现了对MODIS影像HDF文件的自动读取、云检测处理。使用成都市卫星影像进行仿真运算,证明所提出的算法能够实现预定的云检测功能,提高了遥感数据后续处理的精度和效率。
Clear sky images are required for update the information of the earth's space,and cloud cover is a"blind area"in remote sensing images.It has been a hot spot in remote sensing image processing how to correctly and effectively identify the cloud layer.This paper is based on the research of MODIS satellite image cloud detection algorithm,and uses three cloud detection algorithms based on HSV color space,multi spectral threshold and K-MEANS clustering.Based on MATLBA software platform,the HDF of MODIS image is read and extracted automatically.The satellite remote sensing image of Chengdu is used to perform the simulation operation.The experimental results show that the algorithms can realize the predetermined cloud detection function and improve the accuracy and efficiency of the remote sensing data processing.
作者
廖敏
杨磊
LIAO Min;YANG Lei(Chengdu University,Chengdu 610106,China)
