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SOM-GRNN.rar
- 高光谱图像分类方法SOM
SOM-GRNN.rar
- 高光谱图像分类算法SOM
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- 用于高光谱遥感图像分类的空间约束高斯过程方法-For high-spectral remote sensing image classification method of spatial constraints Gaussian process
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- 光谱角为基础的高光谱图像分类仁 希望对大家有用-Spectral Angle Based Kernels for the Classification of Hyperspectral Images
egewed
- 国内外对高光谱遥感成像后进行校正等预处理技术研究已经比较成熟，这些技术跟高光谱图像成像机理密切相关。本文关心的是这些之后进行的信息处理技术。由于高光谱传感器获得的连续波段宽度一般在10nm以内，一般都具有上百个波段，所以基本上不会出现多光谱在成像及传输过程中出现的同物或同谱异物的现象，这给地物分类识别带来了极大的便利-dtgregg
fenlei
- 空间约束半监督高斯过程下的高光谱图像分类 -Space constraints Semi-supervised hyperspectral image classification under the Gaussian process
8Band-selection-for-hyperspectra
- 8乐队选择高光谱图像分类使用互信息IEEE 2006 _guo_grs地球科学和遥感信-8 Band selection for hyperspectral image classification using mutual information IEEE Geoscience and Remote Sensing Letters 2006_guo_grs
9Customizing-kernel-functions-
- 9定制内核函数基于高光谱图像分类IEEE图像处理622 _guo_tip 17(4)622 - 629-9 Customizing kernel functions for SVM-based hyperspectral image classification IEEE Transactions on Image Processing 17 (4) 622-629 2008_guo_tip
svm
- svm算法，针对高光谱图像分类（高维），里边有核函数，检查函数，训练函数-Space Resection
svm-master
- 这是svm工具包，功能比较齐全，通过运行，效果不错，可以实现高光谱图像分类-This is the SVM toolkit, the function is relatively complete, through the operation, the effect is good, can achieve hyperspectral image classification
ExtinctionProfiles
- 一种新的高光谱图像分类方法，采用形态学坡面方法提取特征,获得图像的空间特征，从而提高分类精度。-Extinction Profiles for the Classification of Remote Sensing Data
claasifyKmeans
- 利用Kmeans对高光谱图像分类,很好的程序(hyperspectral image classification using kmeans method)
Indian
- 使用基于词典的稀疏表示高光谱图像分类,多任务联合稀疏表示和逐步MRF优化的高光谱图像分类(Dictionary-based sparse representation hyperspectral image classification, multi-task joint sparse representation and stepwise MRF optimized hyperspectral image classification)
AttributeProfiles
- 可以实现基于形态学的高光谱图像分类，中山大学李军教授的(Hyperspectral image classification based on morphology can be achieved, Professor Li Jun from Zhongshan University.)
ve247
- ML法能够很好的估计信号的信噪比,Relief计算分类权重，毕设内容，高光谱图像基本处理。( ML estimation method can be a good signal to noise ratio, Relief computing classification weight, Complete set content, basic hyperspectral image processing.)
hyperspectral-classification-with-svm-master
- svm高光谱图像分类3D-CNN Hyperspectral Image Classification(svmHyperspectral Image Classification)
SRC_SOMP_matlab-master
- 稀疏表示分类器应用于高光谱图像分类的MATLAB代码实现(MATLAB Code Implementation of Sparse Representation Classifier for Hyperspectral Image Classification)
KNN
- 高光谱图像knn分类算法，在PaviaU和Indianpines数据集上测试(Knn classification algorithm for hyperspectral images, tested on PaviaU and Indianpines datasets)
ResNet-Tensorflow-master
- 使用tensorflow框架对高光谱图像进行识别、分类(Recognition and classification of hyperspectral images using densenet structure)