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Compression-sensing
压缩传感理论，用K-SVD算法训练字典，过完备字典(Compression sensing theory, SVD algorithm with K- had complete training dictionary, dictionary)
- 2011-05-18 15:57:31下载
- 积分：1
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SARimagetargetdectionoverview.pdf
SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题(SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in recent years, a major research focus. In the extensive literature on the basis of research, this article from the SAR image target detection to the history and study of the status quo began an overview of SAR image target detection Progress and Problems)
- 2009-10-22 14:10:02下载
- 积分：1
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ENVI5.3二次开发环境搭建
说明： ENVI+C#二次开发环境搭建
主机操作系统：Windows10_x64
C#编辑器：Microsoft Visual Studio 2012 Ultimate
ENVI5.3 SP1 win64+IDL8.5(ENVI+C#secondary development environment construction
operating system:Windows10_x64
IDE:Microsoft Visual Studio 2012 Ultimate
ENVI5.3 SP1 win64+IDL8.5)
- 2019-11-21 16:37:56下载
- 积分：1
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Harris
Harris角点检测算法,已经测试通过,程序中有清晰的注解，对于算法的理解有较大的帮助．(Harris corner detection algorithm has been tested, there is a clear process of annotation, the algorithm has a greater understanding help.)
- 2009-03-27 01:11:06下载
- 积分：1
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bits2img
将处理过的二进制比特流写入图像，保存显示 (The treated binary bit stream to write the image )
- 2014-12-05 13:21:33下载
- 积分：1
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Sutherland_Cohen--Straight-cut
计算机图形学中小例子，MFC下实现Sutherland_Cohen直线段裁剪算法(Computer graphics small example)
- 2011-12-21 19:05:50下载
- 积分：1
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sauvola
说明： 一种图像阈值分割算法。能够对图像.sauvola是一种考虑局部均值亮度的图像二值化方法, 以局部均值为基准在根据标准差做些微调.算法实现上一般用积分图方法来实现.这个方法能很好的解决全局阈值方法的短板—关照不均图像二值化不好的问题.(Image threshold segmentation algorithm)
- 2020-03-28 08:47:27下载
- 积分：1
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FAST-ICA
1、对观测数据进行中心化，；
2、使它的均值为0，对数据进行白化—>Z；
3、选择需要估计的分量的个数m，设置迭代次数p<-1
4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）；
5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的）
6、用对称正交法处理下W
7、归一化W(:,p)=W(:,p)/norm(W(:,p))
8、若W不收敛，返回第5步
9、令p=p+1，若p小于等于m,返回第4步
剩下的应该都能看懂了
基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)
- 2013-06-27 15:39:00下载
- 积分：1
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icm_seg
基于马尔可夫随机场(MRF)、条件迭代算法ICM的图像分割源码(The MRF, the ICM-based image segmentation source code to source image segmentation based on the MRF ICM)
- 2012-06-15 10:17:55下载
- 积分：1
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weina
维纳滤波器仿真，是对基本算法原理的实现，没有考虑误差模型(Wiener filter simulation, the realization of the basic algorithm principle, without considering the error model)
- 2012-09-19 22:15:51下载
- 积分：1
