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RX

于 2014-12-17 发布 文件大小:2335KB
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说明:  高光谱遥感图像异常检测算法经典算法-RX算法(Hyperspectral image anomaly detection algorithm algorithm classical algorithm-RX)

文件列表:

RX
..\Hyperspectral Target Detection.pdf,3036054,2014-09-04
..\RX_ori.m,174,2014-11-11

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  • 1
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    积分:1
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    积分:1
  • tuxiangchuli001
    图像条纹提取,包括滤波降噪,确定条纹rio区域,重心法求条纹中心(Image stripes extraction, including noise filtering, determine stripes rio area, the center of gravity method for stripes)
    2014-05-15 10:07:28下载
    积分:1
  • 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
  • program
    本程序用于对工件图像的预处理,边缘提取等。将改进遗传算法和Hausdorff距离结合用于工件识别。采用canny边缘为匹配特征,将修正的Hausdorff距离作为相似性度量准则,并应用遗传算法进行最佳匹配的快速搜索,成功实现了目标物体的匹配识别(This procedure used for the workpiece image preprocessing, edge extraction and so on. Will improve the genetic algorithm and Hausdorff distance combination for workpiece identification. Using canny edge for matching characteristics, will be amended Hausdorff distance as similarity measurement criteria and the application of genetic algorithm is the best match of the Quick Search, the successful achievement of the target object matching identification)
    2008-12-26 16:46:00下载
    积分:1
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    基于序贯蒙特卡罗方法的人体跟踪程序,对于学习蒙特卡罗粒子滤波器的人有重要参考价值。(Sequential Monte Carlo method based on human tracking procedures, Monte Carlo particle filter for learning a person has an important reference value.)
    2008-08-20 16:02:36下载
    积分:1
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    2015-08-26 23:59:54下载
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    2012-05-07 07:44:15下载
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