Description: 一种基于支撑矢量积(SVM)的码头检测算法,可以针对高分辨率遥感图像。-A plot based on support vector (SVM) of the terminal detection algorithm that allows high-resolution remote sensing imagery. Platform: |
Size: 1613824 |
Author:fwei |
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Description: 基于matlab环境的SVM程序,SVM可用于分析小样本,以做遥感影像的分类处理-Matlab environment based on SVM procedure, SVM can be used to analyze small samples to make remote sensing image classification Platform: |
Size: 1162240 |
Author:qinyuan |
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Description: 基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural net based remote sensing image classification has obtained good results. But neural net has inherent
flaws such as overfitting and local minimums. Support vector machine (SVM), which is based on Structural Risk Min-
imization(SRM), has shown much better performance than most other existing machine learning methods. Using mul-
ti-class SVM classifier high class rate of 95.4 is obtained. But for the class number of remote sensing image is much
great, manually obtaining of training samples is a much time-consuming work. So a multi-class SVM based semi-super-
vised approach is presented. It is choosed that the initial clustering centroids manually first, then label the samples as
the training ones automatically with fuzzy clustering algorithm. It is believed that this method will upgrade the classifi-
cation efficiency greatly with practicable class rate Platform: |
Size: 25600 |
Author:cissy |
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Description: 遥感图像分类工具箱,包含多种基于支持向量机分类器的主动学习算法-active learning toolbox, used for remote sensing data classification, includes most popular svm-based active learning algorithms. Platform: |
Size: 8710144 |
Author:zhouxiong |
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Description: 一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章:Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。-A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds Platform: |
Size: 108544 |
Author:姜红茹 |
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Description: 遥感影像的英文论文,支持向量机,模糊C均值,挺有用的-Remote sensing image of English papers, support vector machine (SVM), a fuzzy c-means, very useful Platform: |
Size: 9869312 |
Author:李琴 |
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Description: 支持向量机的英文文献,对做遥感影像支持向量机的同学很有帮助-Support vector machine (SVM) in English literature, the classmate of support vector machine (SVM) for remote sensing image is very helpful Platform: |
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Author:李琴 |
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Description: Colibri介绍 Colibri是一个基于ENVI/IDL平台实现的一个开源软件包。里边包含了多种多样的算法和程序。
代码是使用不同子文件夹来存储的。每一个文件夹内都含有一些源码文件。在根目录下的Reference Guide.html文件中包含了所有对象及函数的功能介绍、调用方法等,类似于IDL帮助。
Ø Application – General:含有一些通用功能,比如图像分类、创建合成图像、DSM转换为DTM等功能
Ø Application – Toolbox:包含两个GUI应用程序,功能分别为图像分类后处理(可以新增类别、修改类别等)、高光谱数据处理(光谱平滑,可进行批处理)。
Ø Classes:此文件夹包含了一些通用功能代码,主要为自定义类。
Ø Common:此文件夹包含了一些图像处理函数。如图像分类、SVM、RMSE计算等。
Ø Documents:此文件夹包含了一些参考文献和LOGO等文件。
Ø Examples:包含了一些示例代码和示例数据。
-Colibri is a repository for source code developed in ENVI/IDL under the Open Source Initiative. It contains a wide variety of algorithms and applications which are of interest for the remote sensing community.
The code is organized in a hierarchical way. At the lowest level, common code performing all kinds of basic functionality is available to the higher levels, i.e. classes and applications. Classes are object based functionalities performing more specific tasks. Both common code and classes are the building blocks for the applications which perform well delineated tasks.
All common code, classes and applications are well documented. The complete set of code and documentation are available to the remote sensing community.
ENVI/IDL code developers and remote sensing researchers are requested to actively contribute to this ENVI/IDL Code Library in order to obtain a solid reference of user developed applications for the remote sensing community. Platform: |
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Author:毛巴马 |
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Description: 针对遥感影像在定量描述土地覆盖和热环境分布方面的优越性,利用支持向量机( SVM)
分类器对遥感影像进行分类,获取土地覆盖图,利用单窗算法反演获取地表温度-For a quantitative description of the superiority of remote sensing images in land cover and distribution of thermal environment, the use of support vector machine (SVM)
Classification of remote sensing image classification, access to land cover map, using a single Window Algorithms get LST Platform: |
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Author:天天 |
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Description: the code is for classification using svm for remote sensing image , please see enjoy Platform: |
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Author:marifer100
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Description: 该文献详细介绍了支持向量机SVM在遥感图像中的应用,尤其是在小目标的提取上居然不可替代的作用(In this literature, the application of support vector machine SVM in remote sensing images is introduced in detail, especially the irreplaceable role in the extraction of small targets) Platform: |
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Author:飘逸的猪 |
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