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实现遥感相机自主辨云的小波SCM算法
引用本文:陶淑苹,金光,张贵祥,曲宏松.实现遥感相机自主辨云的小波SCM算法[J].测绘学报,2011,40(5):598-603.
作者姓名:陶淑苹  金光  张贵祥  曲宏松
作者单位:1. 中国科学院长春光学精密机械与物理研究所,吉林长春130033/中国科学院研究生院,北京100039
2. 中国科学院长春光学精密机械与物理研究所,吉林长春,130033
基金项目:国家863计划(093J32F090);吉林省科技支撑计划(20090102)
摘    要:随着遥感相机分辨力的提高和幅宽的增大,星上固存和数传带宽面临巨大的挑战。提出一种多分支云判别算法,可控制相机在有云区关机停拍。首先利用计算量较小的光谱阈值判别法对云和地物粗略分类,在不能确定云或地物时,采用纹理分析方法判别。为减小误判可能,算法采用小波SCM提取纹理特征,并提出一种基于ASM和熵的双判别方式。通过对24.5幅遥感图像进行试验验证,证明该算法能快速准确识别云层和地物,总误判率小于5%。

关 键 词:光谱阈值  纹理  尺度共生矩阵  角二阶矩  

A Wavelet SCM Algorithm Used to Detect Cloud in Remote Sensing Cameras
TAO Shuping,JIN Guang,ZHANG Guixiang,QU Hongsong.A Wavelet SCM Algorithm Used to Detect Cloud in Remote Sensing Cameras[J].Acta Geodaetica et Cartographica Sinica,2011,40(5):598-603.
Authors:TAO Shuping  JIN Guang  ZHANG Guixiang  QU Hongsong
Institution:1.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;2.Graduate University of the Chinese Academy of Sciences,Beijing 100039,China
Abstract:The satellite’s storage device and downlink bandwidth are facing great challenges with the improvements of cameras’ resolution and swath width.This paper proposed a new multi-branches cloud discrimination algorithm to control the camera stop photo in cloud area.Firstly,the spectrum threshold method is used to distinguish between clouds and ground objects roughly.Then the texture analysis method is adopted after threshold method invalid.To reduce the false alarm rate,a new method based on wavelet SCM is used to extract texture properties,and a bi-judgement method based on ASM and entropy is proposed.The algorithm has been verified by 245 remote sensing images.The experimental results show that this algorithm can detect clouds and ground objects correctly,and the false alarm rate is lower than 5%.
Keywords:spectrum threshold  texture  scale-based concurrent matrix(SCM)  ASM  entropy
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