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richter-master

于 2021-02-20 发布文件大小:41KB

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下载积分: 1 下载次数: 35

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代码说明：

使用cnn + svm的分类，结果运行不错(Using CNN + SVM classification, the result runs pretty well.)

文件列表：

richter-master, 0 , 2016-11-10
richter-master\SVM_retrieve.m, 4567 , 2016-11-10
richter-master\SVM_retrieve_classify.m, 6994 , 2016-11-10
richter-master\checkMaps.m, 3217 , 2016-11-10
richter-master\clusterBoxes.m, 4596 , 2016-11-10
richter-master\clusterBoxes_CNN.m, 4768 , 2016-11-10
richter-master\colorHistogram.m, 344 , 2016-11-10
richter-master\colorlbp.m, 183 , 2016-11-10
richter-master\edgeExample.m, 655 , 2016-11-10
richter-master\findMissingFile.m, 820 , 2016-11-10
richter-master\lbp.m, 6280 , 2016-11-10
richter-master\main.m, 1599 , 2016-11-10
richter-master\makeDir.m, 209 , 2016-11-10
richter-master\normalize.m, 159 , 2016-11-10
richter-master\overfeat.m, 2010 , 2016-11-10
richter-master\putAverages.m, 1494 , 2016-11-10
richter-master\randomGenerator.m, 84824 , 2016-11-10
richter-master\randomGenerator2.m, 479 , 2016-11-10
richter-master\readfilelist.m, 445 , 2016-11-10
richter-master\retrieve.m, 1935 , 2016-11-10
richter-master\sample.m, 387 , 2016-11-10
richter-master\saveCNNFeatures.m, 1211 , 2016-11-10
richter-master\saveCNNFeaturesFromBoxes.m, 1733 , 2016-11-10
richter-master\saveConfusion.m, 352 , 2016-11-10
richter-master\saveFeatures.m, 1525 , 2016-11-10
richter-master\saveFeaturesFromBoxes.m, 2256 , 2016-11-10
richter-master\shortenFileNames.m, 987 , 2016-11-10
richter-master\svmClassify.m, 7344 , 2016-11-10
richter-master\svmClassify_new.m, 7685 , 2016-11-10
richter-master\svmClassify_new_viewMaps.m, 8285 , 2016-11-10
richter-master\svmClassify_old.m, 7736 , 2016-11-10
richter-master\test.m, 6574 , 2016-11-10
richter-master\testOverfeat.m, 832 , 2016-11-10
richter-master\test_BOW_new.m, 4134 , 2016-11-10
richter-master\test_SVM.m, 6461 , 2016-11-10
richter-master\test_SVM_new.m, 6676 , 2016-11-10
richter-master\test_new.m, 6663 , 2016-11-10
richter-master\tinyImage.m, 247 , 2016-11-10
richter-master\viewCNNFeatures.m, 1180 , 2016-11-10

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[1] 鼠标拖动裁剪框可移动裁剪区域的位置联合开发网 - pudn.com

2016-11-10 19:22:16下载

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基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )

2010-11-07 11:15:03下载

积分：1
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本程序可以实现遥感图像的辐射校正、辐射归一化(This program can achieve the radiometric calibration of remote sensing images, radiation normalized)

2021-05-16 19:30:08下载

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给出了灰度图像（256*256大小）的三层高斯和拉普拉斯金字塔分解的程序和实现方法。内容包括：1.matlab源码，亲身实践，因为论文需要，自己专研的。完全可用。2.国外最先最权威的关于分解原理介绍的文章。以上两个内容中都有本人的悉心注释和思路总结，内容详尽。3.图示结果(code and principle of laplacian pyramid decomposition of a gray scale image are provided in the article.Contents are given in detail including the notes and usage. )

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