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Through the research and analysis on a series of treatment methods,which including image filtering,mage arithmetic operating,regional processing and gray level transformation,we summed up a complete set of image pre-processing system,proved with image examples,and achieved good treatment effect.

本文依托于MATLAB图像处理软件平台,对具有偏光影响的遥感图像进行分析和处理,通过对图像的滤波、算术运算、区域处理、灰度变换等一系列处理方法的研究与分析,总结出了一套完整的图像预处理系统,并通过图像实例进行了论证,取得了较好的处理效果。

Firstly,this paper gives the property of wavelet transform of two dimensional noise,analyzes the relationship of wavelet transform modulus maxima to different decomposed class j and Lipschitz exponent,and points out how to determine and protect image edges.

首先给出了2维噪声的小波变换特性,分析图像小波变换模的极大值与小波分解级数j和李氏指数之间的关系,指出如何确定和保护图像的边缘;接着阐述了基于软、硬阈值的图像正交小波变换去噪法,然后提出一种基于Neym an-Pearson准则的小波阈值的确定,从而又提出了一种基于小波模极大值和Neym an-Pearson准则阈值的图像去噪方法,解决了图像去噪和保护图像边缘这个“两难”问题。

The method of image fusion presented in this paper can get the high frequency information of wavelet transformation of SAR image and detail information of wavelet transformation of optical image, thus composes a new resolving coefficient.

利用小波分析实现ＳＡＲ图像与光学图像的融合和互补性。