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基于高维空间几何信息学的遥感图像去薄云算法
引用本文:李新宇,刘扬阳,蒋雪娜,王守觉.基于高维空间几何信息学的遥感图像去薄云算法[J].电子学报,2011,39(5):1002-1006.
作者姓名:李新宇  刘扬阳  蒋雪娜  王守觉
作者单位:中国科学院半导体研究所神经网络实验室,北京 100083
基金项目:国家自然科学基金青年科学基金
摘    要:遥感图像中薄云的存在为遥感图像的判读带来了极大的影响,本文针对遥感图像中的薄云雾提出了一种基于高维空间几何信息学(High-Dimensional Space Geometrical Informatics)(HDSGI)的去云的新算法.基于HDSGI理论,将一副带有薄云的遥感图像作为高维空间中的一点,通过各向同性滤波...

关 键 词:遥感图像  薄云去除  高维空间几何信息学(HDSGI)
收稿时间:2010-02-09

An Novel Algorithm to Remove the Thin Cloud from Remote Sensing Images Based on High-Dimensional Space Geometrical Informatics
LI Xin-yu,LIU Yang-yang,JIANG Xue-na,WANG Shou-jue.An Novel Algorithm to Remove the Thin Cloud from Remote Sensing Images Based on High-Dimensional Space Geometrical Informatics[J].Acta Electronica Sinica,2011,39(5):1002-1006.
Authors:LI Xin-yu  LIU Yang-yang  JIANG Xue-na  WANG Shou-jue
Affiliation:Laboratory of Artificial Neural Networks,Institute of Semiconductors,Chinese Academy of Sciences,Beijing 100083
Abstract:The presence of thin cloud in remote sensing images has brought great impact for follow-up image interpretation.An novel algorithm was proposed to remove the thin cloud from remote sensing images based on the theory of High-dimensional space geometrical informatics(HDSGI).One Image is mapped into an original point (vector) of a high-dimensional space by the theory of HDSGI,namely,a remote sensing image including of cloud is an point of high-dimensional space.In this new algorithm,through homomorphic filter,...
Keywords:remote sensing image  thin cloud removal  high-dimensional space geometrical informatics(HDSGI)  
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