搜索资源列表
read_ENVI
- matlab编程，读取ENVI图像，用matlab读取遥感图像，用于后续的分类处理-read image
Simulated-Annealing
- 由于K-means 聚类方法对遥感图像进行分类时，对训练样本的选取依赖性很大，容易陷入局部最优的陷阱的情况，本文提出利用模拟退化算法对K-means 的聚类进行优化以获得 全局最优解的分类新方案。并以多波段影像为例进行验证分析，结果表明该方法可行，收敛 结果优于K-means 聚类算法，分类精度相对传统的K-means 算法更高。-Because K-means clustering classification depend on the training sample selecti
methods_set
- 高分辨率遥感图像进行识别分类，寻找出边界，然后进行进一步处理-In recognition classification of high resolution remote sensing image, find out the boundary, and then for further processing
classification
- 各种非监督分类遥感算法的IDL代码，包括K均值，ISO聚类-Remote sensing of various non-supervised classification algorithms IDL code, including K-means, ISO clustering
kernel-Function
- 利用核函数进行遥感图像的分类，本程序再支持向量机的基础上引入了核函数进行图像分类，是分类效果更加明显-Use of nuclear function remote sensing image classification, the program no longer support vector machine based on the introduction of the kernel function for image classification, classification eff
Kmeans_Cluster
- 一个K-Means算法，可实现对遥感图像的分类处理-A K-Means algorithm can be realized on remote sensing image classification
Kmeans-IMGAGE
- 一个K-Means算法，可实现对遥感图像的分类处理-A K-Means algorithm can be realized on remote sensing image classification
otsu1
- 运用数学形态学原理 分割之后的特征提取 遥感影像分类中的应用-morpholog
Task-One
- 模式识别监督法分类实例，是武汉大学遥感院的课程作业-Pattern recognition classification instance Supervision Law, Wuhan Institute of Remote Sensing course work
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
wyh2009302590123RSPrograming
- 武汉大学遥感编程实习源代码,包括对影像的分类和对IMG图像的读取转换，影像的融合-Remote Sensing, Wuhan University internship program source code
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
cal_class
- envi二次开发，调用其中的分类函数，实现对遥感影像的分类，减少开发难度-envi second development, called the classification function, the classification of remote sensing images, simplifying the development of difficulty
Eyes
- 图像处理实习（针对遥感影像），包含许多经典的图像处理功能，比如多种植被指数计算、小波变换、镶嵌、图像分类等-Image processing internship (for remote sensing images), contains many classic image processing functions, such as a variety of vegetation indices, wavelet transform, mosaic, image classification,
Image-processing
- 基于vc6.0的遥感图像处理，可以实现图像增强，植被指数计算，K均值分类等功能。-Vc6.0 based remote sensing image processing and image enhancement can be achieved, vegetation index calculation, K-means classification capabilities.
123
- 高分辨率遥感影像的支持张量机分类方法，此方法能够利用少量的训练样本实现更优的分类精度。-Support tensor machines resolution remote sensing image classification method, and this method can use a small amount of training samples to achieve better classification accuracy.
2011302590136
- 遥感原理实习，K均值分类，以及图像基本操作，打开保存等-Remote Sensing Principles internship, K-means classification, and image basic operations, such as open saved
edge-analysis-code
- 影像边缘检测，可用于检测影像的边缘信息，用于遥感解译与分类。-Image edge detection, can be used to detect image edge information for remote sensing interpretation and classification.
RSImageClassification
- arcengine10.1+vs2010开发的具有监督和非监督分类功能的遥感影像分类系统-arcengine10.1+ vs2010 development of remote sensing image classification system has supervised and unsupervised classification function
kmeans
- K-means算法是最简单的一种聚类算法。算法的目的是使各个样本与所在类均值的误差平方和达到最小，该程序操作简单，能快速实现遥感影像的kmeans聚类，进行影像分类，显示分类结果。-K- means algorithm is the simplest kind of clustering algorithm.Algorithm is designed to make the sample and the average in the class to minimize the error sum