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- An Enhanced SAR Image Speckle Filter 一种改进的SAR图像斑点噪声滤波方法
- Structure Retaining Linear Multi-channel SAR Image Speckle Filter 基于特征保持的线性多通道最优求和SAR图像滤波算法
- SAR image speckle SAR图像斑点噪声
- Abstract： In this paper, a new method of speckle reduction in polarimetric SAR image is proposed. 摘 要： 提出了一种新的极化SAR图像相干斑抑制的方法。
- The application of SAR image is greatly limited because of the existence of coherent speckle. 斑点噪声的存在使得SAR图像的应用受到较大的限制。
- This paper deals with coherent speckle reduction in high resolution SAR image based on wavelet transform. 论述了基于小波变换对高分辨率合成孔径雷达(SAR)图像的相干斑噪声进行抑制。
- In this paper, a new method of speckle reduction in polarimetric SAR image is proposed. 提出了一种新的极化SAR图像相干斑抑制的方法。
- The experiment shows ICA algorithm can separate speckle from polarimetric SAR image effectively and improve the performance of the image. 同时独立分量分析算法实现比较简单,计算方便有效。
- Because there is speckle noise in SAR image and the background clutter of water is usually very complex, weak target detection is a big challenge for conventional methods. SAR图像存在相干噪声以及水面背景杂波的复杂性,传统方法对于弱目标检测存在困难。
- First of all,the reason of generating speckle in SAR image is interpreted,the advantage and the necessity of speckle reduction based on wavelet transform are discussed. 首先从SAR图像相干斑噪声的产生机理出发,论述了在SAR图像中采用小波变换对相干斑噪声滤波的优越性和必要性;
- This paper firstly discusses the rationale of SAR image simulation from geometric and radiometric characteristics of SAR image,such as Range Doppler(RD) model,backscattering model,and speckle model. 本文首先从SAR图像的几何特征和辐射特征出发,探讨了SAR图像模拟技术的原理,分析了RD(Rang Doppler)模型,后向散射模型和斑噪模型。
- Method is developed for speckle reduction of high resolution one-look spaceborne SAR images in this paper. 提出了实现高分辨率星载SAR单视图像斑点噪声抑制的广义形态滤波法。
- The multiplicative nature of the speckle noise in SAR images is a big problem in SAR image segmentation.A novel method for automatic segmentation of SAR images is proposed. 由于存在相干斑噪声的影响，给SAR图像分割造成很大的困难，该文提出了一种SAR图像的自动分割方法。
- A SAR image collected in Niigata Japan was studied with our method. 利用该方法的几种特例,可以进一步分析SAR图像中不同目标的一次、二次散射成分。
- SAR image collected in Niigata Japan was studied with our method. 利用该方法的几种特例,可以进一步分析SAR图像中不同目标的一次、二次散射成分。
- New method for reducing speckle noise in sar image 相干斑噪声抑制技术研究
- Because of the backscatters, SAR images are contaminated by speckle noises which lower image quality and mask image structure.Therefore, noise-smoothing is the first step in the image processing. SAR的后向散射成像机制决定了SAR图像中存在相干斑噪声，这些相干斑噪声降低了图像质量，掩盖了图像的细节结构，因此在SAR图像处理时通常先对图像进行去噪。
- Traditional speckle removal methods generally result in the lost of image features.This paper presents a new approach to edge-preserving smoothing of digital SAR images based on the PDE's. 传统的相干斑噪声抑制算法在多次迭代后通常会导致图像边缘的模糊，这一直是SAR图像去噪处理的难点和热点所在。
- Synthetic aperture radar (SAR) is affected by speckle noise seriously.It is difficult to use the classic means for optical images when we perform SAR images registration and change detection. 摘要合成孔径雷达(SAR)图像由于受相干斑噪声的影响，在对其进行配准及变化检测时，经典的适于光学图像的方法效果不佳。
- SAR image edge withdrawing is a important content of image proceesion. SAR图像的边缘提取是其图像处理的一项重要内容。
