In this paper, SAR image speckle suppression is analyzed from the view of mathematical physics.
本文首先以数学物理的观点描述了SAR图像斑点噪声抑制问题。
Multilook processing is a basic method for speckle suppression of synthetic aperture radar(SAR) images.
多视处理是合成孔径雷达（SAR）图像纹斑噪声抑制的一种基本方法。
This evaluation procedure can measure both the speckle suppression preformance and the loss of original information of the image.
该评价体系能同时衡量各滤波算法对相干斑的抑制程度以及对图像原始信息的保持程度。
Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering.
在此基于小波域隐马尔可夫树模型，将贝叶斯估计和同态滤波思想有机结合，提出一种新的医学超声图像去噪方法。
Speckle noise suppression gets stronger in homogeneous regions as the window size increases succeedingly.
在均匀区域，随着窗口大小的增大，斑点噪声抑制变得更强；
Suppression methods for speckle and reverberation are introduced and their advantages and drawbacks are also discussed.
在伪像消除方面，主要介绍了散斑和混响伪像的消除方法，讨论了各种方法的优缺点。
A new adaptive windowing algorithm for speckle noise suppression is proposed, solving the problem of window size associated with the local statistics adaptive filter.
研究了一种新颖的斑点噪声抑制自适应窗口算法，解决了局域统计自适应滤波器的窗口大小问题。
The practical RFI and speckle noise suppression techniques for ultra-wideband SAR are proposed.
提出了实用的超宽带sar射频干扰(RFI)和相干斑噪声抑制技术。
Therefore, the suppression SAR image speckle noise, is an important issue of SAR imaging applications.
因此，抑制SAR图像的相干斑噪声，是SAR图像应用的重要课题。
In this paper, multiplication model of speckle image in imaging lidar is analyzed, and then suppression processing for the speckle image is finished by homomorphic wavelet filter.
分析了激光成像雷达系统中所成的散斑像的乘法模型 ，并在此基础上利用一基于小波的同态滤波器对被散斑污染的图像进行了消噪处理。
In this paper, multiplication model of speckle image in imaging lidar is analyzed, and then suppression processing for the speckle image is finished by homomorphic wavelet filter.
分析了激光成像雷达系统中所成的散斑像的乘法模型 ，并在此基础上利用一基于小波的同态滤波器对被散斑污染的图像进行了消噪处理。
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