遥感图像的云分类和云检测技术研究  

The Study of Cloud Classification and Detection in Remote Sensing Image

作　　者：周雪珺 杨晓非[1] 姚行中[2] 

机构地区：[1]华中科技大学光学与电子信息学院,湖北武汉430074 [2]第二炮兵指挥学院精确制导技术实验室,湖北武汉430012

出　　处：《图学学报》2014年第5期768-773,共6页Journal of Graphics

摘　　要：为了有效减小云层遮盖对遥感图像数据利用率的影响,提出了一种基于灰度特性的算法,实现了遥感图像高效自动的云分类及云检测。该方法首先将大幅遥感图像切分成小块子图,然后统计子图灰度值的均值和方差,在此基础上将云分成无云、薄云和厚云三类,最后通过边缘检测算法,实现了对厚云影响范围的有效标记。对100幅典型水域遥感图像的实验测试结果表明:正确云分类判别率达到97%,误判率小于4%,漏判率小于2%,基本满足实时性需求,证明了该算法的有效性。Cloud shelter in remote sensing image may cause low date utilization rate,so the research of automatic and efficient cloud classification and detection method is increasingly important.This article proposes a high performance and high accuracy algorithm for the cloud classification and cloud edge detection based on gray character.This method finds out the mean and variance of gray value to classify cloud into three categories by dividing the image,then uses edge detection methods to remark the influence area of thick cloud.Primary testing results of 100 water remote sensing images have showed that this algorithm is valid and can satisfy the engineering requirement：the precise classification rate is 97％,the false rate is lower than 4％ and the missed rate is lower than 2％.

关 键 词：遥感图像 灰度特性 云分类 云检测 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]