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用sa进行光谱图像的特征提取的matlab程序
- 用sa进行光谱图像的特征提取的matlab程序，该算法比用其他方法在性能方面高%15-with spectral images of the Matlab feature extraction procedure, the algorithm than other methods in high-performance
rotation--forest
- 一些最新的旋转森林集成分类器的研究，能够很好的运用到高光谱图像、生物信息等其他方向。-Some of the latest research rotation forest integrated classifier, can be well applied to the other direction hyperspectral image, biological information.
neng_v75
- 毕设内容，高光谱图像基本处理，实现用SDRAM运行nios，同时用SRAM保存摄像头数据，这个有中文注释，看得明白。- Complete set content, basic hyperspectral image processing, Implemented with SDRAM run nios, while saving camera data SRAM, The Chinese have a comment, understand it.
LFDA_GMM_MRF_demo
- 高光谱图像分类代码，发表于2016年JSTARS，效果较好-High spectral classification code, the algorithm is published in 2016 TGRS, the results are better
Indian_ELM_LBP_test
- 高光谱图像分类算法，发表于2016年GRSL，效果较好，可以作为对比实验-High spectral classification code, the algorithm is published in 2016 GRSL, the results are better
PaviaEMPSVM
- 利用形态学滤波结合SVM分类算法对高光谱图像进行分类(Using morphological filtering and SVM classification algorithm to classify hyperspectral images)
53607900Autoencoder_Code
- 用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process)
DR_CNN_scripts
- 高光谱图像分类，利用CNN，里面有全套的流程，包括数据处理，样本生成，测试，精度评价。(hyperspectral image classification based on CNN)
CNN_Hyperspectral_Classification-master
- 使用神经网络进行训练，对高光谱普图像进行分类(Using neural network to train and classify hyperspectral images)
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)