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基于大数据量遥感图像的薄云去除
引用本文:谢华美,李荣艳,田艳琴,别荣芳. 基于大数据量遥感图像的薄云去除[J]. 北京师范大学学报(自然科学版), 2006, 42(1): 42-46
作者姓名:谢华美  李荣艳  田艳琴  别荣芳
作者单位:北京师范大学计算机科学与技术系,100875,北京;北京师范大学计算机科学与技术系,100875,北京;北京师范大学计算机科学与技术系,100875,北京;北京师范大学计算机科学与技术系,100875,北京
摘    要:对于带有薄云的大数据量遥感图像,提出了一种新的空域滤波去云方法.用这一方法对图像进行重采样、薄云识别、云的厚度估计,再使用拉普拉斯算子增强有云区域的对比度,并对不同厚度的云层分别降低不同的亮度,从而实现去云.然后进行图像恢复,得到跟原图像同样大小的去云后的图像.实验证明,这种方法速度快,占用计算机的内存少,得到的图像效果好.

关 键 词:薄云去除  大数据量  抽样方法  云层识别
收稿时间:2005-06-01
修稿时间:2005-06-01

THE REMOVING CLOUDS METHOD BASED ON LARGE REMOTE SENSING IMAGE
Xie Huamei,Li Rongyan,Tian Yanqin,Bie Rongfang. THE REMOVING CLOUDS METHOD BASED ON LARGE REMOTE SENSING IMAGE[J]. Journal of Beijing Normal University(Natural Science), 2006, 42(1): 42-46
Authors:Xie Huamei  Li Rongyan  Tian Yanqin  Bie Rongfang
Affiliation:1.Department of Computer Science and Technology, Beijing Normal University, 100875, Beijing, China
Abstract:As to the large remote sensing image with thin clouds,a new method of filtering in space domain is introduced.Firstly,the image is sampled,the thin clouds are recognized and their thickness is estimated.Secondly,the contrast is enhanced by using Laplacian in clouds area and the lightness is reduced according to their thickness.Finally,the image is recoverd and an image without thin clouds is obtained.The experiment proves this method is faster,uses less memory and gets better result.
Keywords:clouds remove  large data  sample method  cloud layer recognition
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