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关于SAR图像无监督轮廓追踪分割的文章,希望对大家有所帮助。-unsupervisedl andc over classification of SAR images by contour tracing
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这是一幅SAR 图像,bmp格式的.可以用来去除噪声和SAR 分类.-This is a SAR image, with bmp format. which can be used to remove noise and SAR classification.
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SAR图像的极化干涉非监督Wishart分类方法和实验研究-Polarimetric Interferometric SAR image classification Unsupervised Wishart and Experimental Research
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propose a new routing technique called Security-Aware
ad hoc Routing (SAR) that incorporates security attributes as parameters
into ad hoc route discovery. SAR enables the use of security as a negotiable
metric to improve the relevance of the r
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基于主分类分析的SAR图像变化检测MATlt实验程序-Based on the analysis of the main SAR image classification change detection experiment
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SAR图像分类程序,基于灰度阈值的分类,无监督学习的分类简单。-SAR Image classification
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一种极化SAR图像模糊分类方法One kind of fuzzy classification of polarimetric SAR images-One kind of fuzzy classification of polarimetric SAR images
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全极化干涉雷达图像分类算法的实现代码full_wishartdec-Polarimetric InSAR image classification algorithm implementation code full_wishartdec
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全极化SAR分类算法的实现代码,plot_H_alpha-Full polarimetric SAR classification algorithm implementation code, plot_H_alpha
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极化SAR分类,H/alpha分类程序,带有绘制颜色分割表、H/alpha平面的程序,H/alpha 分解分类实现对旧金山海湾地区分类的程序,效果不错的~-Polarimetric SAR classification, H/alpha Classified program with drawing color segmentation table, H/alpha plane program, H/alpha decomposition classification to achieve a
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一个溢油检测算法,先检测暗区目标,再进行特征提取,然后分类识别-We present algorithms for automatic detection of oil
spills in synthetic aperture radar (SAR) images. The algorithms
consist of three main parts, namely: 1) detection of dark spots
2) feature extraction from the
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基于商空间粒度计算的SAR图像分类方法研究-SAR Image Classification Based on Granularity Computing of
Quotient Space Theory
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极化SAR分类方向的很好的入门PPT资料,对各种相干、非相干分解方法以及监督、非监督分类方法做了简单的阐述-polarimetric SAR decomposition and image classification
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Sar Image classification
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sar image classfication algorithm
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孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度,影响了后续目标检测、分类和识别
等应用。因此,SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平
滑的同时保持图像的边缘等细节不受损失,目前存在各种各样的算法,但没有一种方法能够完美的满足这一要求。
本文对SAR图像的相干斑抑制问题进行了全面系统的研究,分析了相干斑的形成原因,总结了目前存在的相干斑
抑制算法的主要思路,介绍了具有代表性的算法,并对各种算法的性能进行了定性分析和比较,给出了去斑算
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用于SAR图像识别与分类的官方MSTAR图像集,百度云链接,永久有效,2GB。(Official MSTAR image set for SAR image recognition and classification, Baidu cloud link, permanently valid, 2GB.)
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经典kuan滤波器,用于SAR图像相干斑抑制,提高分类精度。(The classical Kuan filter is used for SAR image speckle suppression and improve classification accuracy.)
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参照论文《基于SPAN/H/alpha/A和复Wishart分割的全极化SAR数据的非监督分类算法研究》(Referenced research on unsupervised classification algorithm of fully polarimetric SAR data based on SPAN / H / alpha / A and complex Wishart segmentation)
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国防科技大学博士周晓光论文-极化SAR图像分类方法研究(Research on polarization SAR image classification method by Dr. Zhou Xiaoguang of National University of Defense Technology)
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