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Image_Classify
- 遥感影像分类的matlab实现（源码+图像）。以及分类后评价（总体精度、Kappa系数、混淆矩阵）。-Remote Sensing Image Classification of matlab implementation (source code+ images). After the evaluation and classification (overall accuracy, Kappa coefficient, confusion matrix).
kappa123
- 计算图像kappa系数，在遥感图像处理中实习做的-Calculate the image kappa coefficient, in remote sensing image processing done in practice
UrbanExpansionResearchBasedOnMnfAndMadTransformati
- 针对传统变化检测方法存在的缺陷,将最小噪声比率变换(Minimum Noise Fraction, MNF)和多元变化检测(Multivariate Alteration Detection, MAD)方法应用于东营市城市扩展分析.从MNF和MAD变换获得的影像中提取的二值图像可知,检测结果总体精度达到90.1 ,Kappa系数为0.802,证明了本文方法在变化区域检测方面的可操作性和有效性.-Traditional change detection methods for defects, t
kappa
- multispectral image classification
Change-Detection-Code
- 遥感影像变化检测经典算法(IR-MAD、MAD、CVA、PCA),另外进行了算法的Demo和精度等计算评价（OA、Kappa、AUC、ROC）-Remote sensing image change detection classical algorithm (IR-MAD, MAD, CVA, PCA), were additionally algorithms and calculation accuracy Demo Assessment (OA, Kappa, AUC, ROC)