搜索资源列表
SOM
- 基于matlab的自组织神经网络进行遥感图像分类处理-Matlab based on the self-organizing neural network for remote sensing image classification processing
Kmean1
- 用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割--For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition
yuancode
- 主动学习用于遥感图像的最新论文，对应学习主动学习在遥感图像分类有很好的借鉴意义。-Active learning for remote sensing images of the latest papers, correspondence learning active learning in remote sensing image classification have a good reference
ELMexam
- 使用极限学习机ELM算法进行遥感图像分类的源代码，很好的例子-Use extreme learning machine ELM remote sensing image classification algorithm source code, a good example
LDA
- 模式识别LDA算法代码,基于LDA降维的遥感图像分类，使得降维后的数据具有最好的类别可分性。-LDA pattern recognition algorithm code
DR_LDA
- 基于LDA降维的遥感图像分类，LDA算法函数程序，可与各种分类算法结合，提高图像分类的速率-remote sensing image cut down dimension algorithm based on LDA.
2-separability-based-feature-s
- 2快速separability-based特征选择方法highdimensional遥感图像分类模式识别_guo_pattrec 41(8)1670 - 1670 1670 -2 A fast separability-based feature selection method for highdimensional remotely-sensed image classification Pattern Recognition 41 (8) 1670-1679 2008
remotesensing-classificaiton
- 实现简单的遥感图像分类处理,使用的语言为C++，其中监督分类为最大似然算法，非监督分类为ISODATA算法-Can achieve a simple remote sensing image classification, the language used is C++, which is the maximum likelihood supervised classification algorithms, unsupervised classification algorithm for
Kmean
- 基于改进的kmean的非监督分类，实现全自动的遥感图像分类-Based on Improved kmean unsupervised classification, to achieve automatic remote sensing image classification
Classification_KM
- 用于遥感图像分类的自动分类，方便快速，疗效快，你值得拥有！-For the automatic classification of remote sensing image classification, convenient and quick, fast curative effect, worthy of you!
Classification_MLC
- 用于遥感图像分类的自动分类，方便快速，疗效快！-For the automatic classification of remote sensing image classification, convenient and quick, fast curative effect!
Classification_Neural_NET1
- 用于遥感图像分类的自动分类，简单实惠，快速准确！-For the automatic classification of remote sensing image classification, the simple, fast and accurate!
Classification_SVM1
- 用于遥感图像分类的自动分类，帮你快速解决图像分类问题！-For the automatic classification of remote sensing image classification, to help you quickly solve the problem of image classification!
k-means-algorithm
- 基于k-means算法的遥感图像分类 源代码 算法测试-Remote sensing image classification based on k-means algorithm Source code Algorithm testing
knn-algorithm
- 基于knn算法的遥感图像分类 源代码 算法测试-Remote sensing image classification based on knn algorithm Source code Algorithm testing
Hyperspectral-Data-Classification
- 基于主动学习的高光谱遥感图像分类，主动学习方法也比较流行，新颖。-An Active Learning Approach toHyperspectral Data Classification
remote-sensing-image-classfication
- 一种基于空域信息的支撑向量机的遥感图像分类算法-A Remote Sensing Image Classification Algorithm Based on Spatial Information and Support Vector Machine
9
- 遥感影像土地利用覆盖分类方法研究进展 为了研究遥感影像土地利用/覆盖分类的方法,综述了国内外近30年的遥感图像分类研究,发现遥感图像分类方法存在多而杂的问题.在分析当前主要遥感影像分类方法的基础上,从传统的分类方法、传统分类方法的改进、其他新分类方法3个方面,对遥感影像土地利用/覆盖分类方法研究进展进行了阐述,本研究还存在不足,今后还需进一步研究利用各种分类方法相互结合在土地利用/覆盖遥感分类中的应用. -Advances in remote sensing image clas
ocsvm---VS-svdd
- 支持向量机遥感图像分类代码，内含C、matlab代码，参考文献供学习-Support vector machine remote sensing image classification code
Accuracy-evaluation
- 基于地物分类真值的高光谱遥感图像分类精度评价-Accuracy uation of remote sensing image classification