搜索资源列表
Bayes_Classify
- 基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例-Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features
Wavelet_Classify
- 基于小波变换和K-Mean算法的崇明东滩遥感图像分类，读取样本的能量特征向量进行分类，并返回分类图像的RGB图，显示各类地物面积比例-Based on wavelet transform and the K-Mean Algorithm for remote sensing image classification Chongming Dongtan, the energy to read a sample feature vectors for classification, and retu
fcm_color
- 模糊c均值聚类算法对遥感图像分类，可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their
MomentCalculator
- 在图像处理与模式识别领域，边缘图像的moments序列是进行图像分类的高效手段。 本程序提供了moments序列的计算代码，以及中心化正交化moments序列的代码，并提供有二三阶moment计算出旋转不变moments的代码。希望对各位有所帮助。-In the field of image processing and pattern recognition, the edge of the image sequence of moments is a highly effective m
GKIT
- 基于广义高斯模型的自动阈值选取(GKIT)，用于图像分割、图像分类。-GKIT：Threshold Selcetion Based on the Generalized Gaussian Models，for image segmentation and classification
LS-SVMlab1.5
- 支持向量机，用于图像分类分割，目标检测识别,人工智能信息处理-support vector machine has been widely used in classification and object identification.
ISODATA2
- 改进的ISODATA图像分类算法实现，用快速算法提高了分类的速度-Improved ISODATA image classification algorithm, using fast algorithm to improve the speed of the classification
Classification_toolbox
- 图像分类软件，用MATLAB语言编写，可实现对象的分类和匹配识别-Image classification software used MATLAB language, enabling the object classification and matching recognition
PCA_classifier_version1b
- 基于PCA的图像分类的方法，该方法效果好，易理解。-PCA-based image classification method, the method effective, easy to understand.
ClassifyImage
- VC开发的图像分类程序，里面有神经网络的算法，-VC development of image classification procedures, which are neural network algorithms,
1
- 关于rbf神经网络实现图像分类的IEEE英文文献 和大家一起分享-A Technique for the Selection of Kernel-Function
12
- 关于rbf神经网络实现图像分类（主要针对遥感图像）的IEEE英文文献-Land-cover Supervised Classification
28
- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-Radial Basis Function Neural Networks
a
- 与大家分享一篇用神经网络做遥感图像分类的经典IEEE文献-The Application of Run-Length Features in Remote Sensing Classification
g
- 基于L-M算法的BP神经网络分类器 对图像分类有较好的效果-LM algorithm based on BP neural network classifier for image classification has a good effect
h
- 基于多类支持向量机的遥感图像分类及其半监督式改进策略-Based on multi-class support vector machines for remote sensing image classification and Semi-supervised Improvement Strategy
i
- 基于概率扩散的多光谱遥感图像分类模型 效果绝对由于传统分类方法-Based on the probability of the spread of multi-spectral remote sensing image classification model of the absolute effect of traditional classification method
j
- 基于近似域划分的可变离散精度粗逻辑网络及其遥感图像分类应用-Based on approximate discrete domain into the variable precision rough logic networks and their application of remote sensing image classification
o
- 用于遥感图像分类的一种高阶神经网络的改进算法-For remote sensing image classification as a high-order neural networks improved algorithm for
p
- 基于松弛因子改进FASTICA算法的遥感图像分类方法-Relaxation factor based on improved FASTICA remote sensing image classification algorithm