探讨了抑制合成孔径雷达图像相干斑噪声的方法。
Methods of reducing speckle noise in SAR image are discussed in this paper.
本文利用几何模型对合成孔径雷达图像进行滤波。
Study on geometric rectifying methods of airborne synthetic aperture radar image;
最后给出适合于合成孔径雷达图像城区分类的特征。
At last the features which are fit for SAR urban images classification are given.
讨论了这种干扰方法对合成孔径雷达图像的干扰效果。
This method is compared with classical noise jamming technique by means of SJR (Signal to jamming Ratio) gain and jamming power gain of SAR system.
提出一种聚束式合成孔径雷达图像特征提取的有效算法。
An effective algorithm of feature extraction for spotlight synthetic aperture radar images is presented.
本文以机载合成孔径雷达图像相干斑滤波算法为研究内容，得出了一些有益的结论。
This paper focuses on the research of speckle filtering algorithms of SAR image and obtains some useful conclusions.
仿真结果较好地反映了航迹的表面分布情况，为研究舰船航迹在合成孔径雷达图像中的成像机理提供了理论分析依据。
The results show that the simulations give a good description of surface distribution of Kelvin ship wakes, which will assist in understanding SAR images of ship wakes.
作用于合成孔径雷达图像中的相干斑抑制时，不论从视觉效果还是等效视数和比值图等衡量指标上都取得了较好的效果。
More significance, this technique is used for restraining speckle noise in synthetic aperture radar images successfully in equivalent number of looks and ratio images.
但由于在合成孔径雷达图像中存在严重的相干斑噪声，有人认为使用灰度梯度提取合成孔径雷达图像的灰度边界得不到好的结果。
Because the serious noise of coherent speckle exists in the SAR imagery, some people believe that edge extraction using gradient for SAR imagery gives poor results.
随着合成孔径雷达(SAR)图像定量应用的日益广泛和深入，定标已成为现代星载SAR遥感测量的必备技术条件。
With the increasingly extensive and in-depth application of quantitative Synthetic Aperture Radar (SAR) images, SAR calibration became a necessary technique in modern spaceborne SAR remote sensing.
合成孔径雷达(SAR)图像相干斑噪声滤波技术分成三类：多视处理、统计滤波和变换域滤波。
Synthetic Aperture Radar (SAR) speckle filtering techniques can be classified into three categories: multi-look processing, statistical filtering and filtering in transform domain.
作为主动寻的探测设备，合成孔径雷达(SAR)可以全天候、全天时提供高清晰度图像，从而在军事侦察和民用上得到了广泛的应用。
As an active detector, Synthetic Aperture Radar (SAR) which provides high-resolution images in all-weather, all day and all night is widely used in military reconnaissance and civil field.
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。
Multilook processing is a basic method for speckle suppression of synthetic aperture radar(SAR) images.
星载合成孔径雷达能够得到高分辨率的遥感图像。
Synthetic aperture radar on satellite can produce fine resolution remote sensing image.
近年来，利用合成孔径雷达(SAR)图像进行舰船检测的研究在海洋遥感领域得到高度重视。
In recent years, researches of ship detection using synthetic aperture radar (SAR) images have received considerable attentions in the area of Marine remote sensing.
从全极化合成孔径雷达（SAR）图像数据中，可提取方位向的地势倾斜度信息，形成极化SAR三维成像。
Terrain slope information may be drawn from polarimetric synthetic aperture radar (SAR) two-dimensional image, so that three-dimensional image can be generated.
提高纹理清晰度、保护边缘信息是合成孔径雷达(SAR)图像融合的重要目标。
Improving texture and preserving edge is the important target of synthetic aperture radar (SAR) image fusion.
合成孔径雷达(SAR)图像海岸线检测，在自动导航、地图绘制等海洋应用方面具有重要意义。
Coastline detection in Synthetic Aperture Radar (SAR) images plays a significant role in Marine applications, such as autonomous navigation, geographic mapping, etc.
提出了合成孔径雷达(SAR)图像分辨率的统计判别准则。
A novel statistical decision criterion for Synthetic Aperture Radar (SAR) image resolution is presented here.
方位角估计是合成孔径雷达（SAR）图像自动目标识别研究中的一个重要问题。
Azimuth estimation is very important in the field of Automatic Target Recognition(ATR) of Synthetic Aperture Radar(SAR) images.
摘要：随着航天技术的飞速发展，合成孔径雷达（SAR）的应用越来越广泛， SAR图像的分析处理也备受关注。
ABSTRACT :With the rapid development of satellite astronomy technique, Synthetic aperture radar (SAR) is widely applied, and more and more people pay attention to the SAR image processing.
合成孔径雷达(SAR)图像分类是SAR图像解译的关键技术之一。
Synthetic Aperture Radar (SAR) image classification is a key technique of SAR image interpretation.
合成孔径雷达获得的图像是一种准全息图像。
The image acquired from synthetic aperture radar is a holographic image.
传统的机载合成孔径雷达（SAR）一般依赖于GPS/INS组合系统补偿平台的运动误差，并获得高分辨率的图像。
Traditional airborne SAR (Synthetic Aperture Radar) makes use of the GPS/INS to compensate the platform motion error to acquire high resolution images.
为了提高合成孔径雷达(SAR)图像相干斑抑制能力，建立了二维双通道滤波器组多级结构的相干斑抑制模型。
In order to improve the capability of Synthetic Aperture Radar (SAR) speckle reduction, the speckle reduction model of a 2d two-channel filter bank multiscale structure is presented.
提出一种两步算法用于从合成孔径雷达(SAR)图像中无监督地提取线性特征，特别是公路网的提取。
Two step algorithm is proposed for unsupervised detection of linear structure from SAR image, in particular, the road network detection.
相干斑抑制是合成孔径雷达(SAR)图像和极化SAR图像后处理的首要问题。
Speckle reduction is the primary problem of SAR (Synthetic Aperture Radar) and polarimetric SAR imagery post-processing.
依据合成孔径雷达(SAR)距离方程和多普勒方程，用SAR成像参数可实现SAR图像的几何校正。
According to the Range Doppler equations, the geometric calibration of SAR image can be realized using SAR imaging parameters.
在合成孔径雷达（SAR） 中，雷达与目标之间相对运动的精确知识是相干处理回波形成高方位分辨率图像的基础。
The problems about the detection of moving objects and observation by the synthetic aperture radars(SAR) are described in this paper.
在合成孔径雷达（SAR） 中，雷达与目标之间相对运动的精确知识是相干处理回波形成高方位分辨率图像的基础。
The problems about the detection of moving objects and observation by the synthetic aperture radars(SAR) are described in this paper.
应用推荐