搜索资源列表
27
- 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-Spectral Angle Based Kernels for the Classification of Hyperspectral Images
Improved-P_SVM-support-vector-machines
- 改进的P_SVM支持向量机与遥感数据分类,对多光谱高光谱分类-Improved P_SVM support vector machines and remote sensing data classification, Classification of multispectral hyperspectral
BPNN-NIR
- 用于近红外/高光谱光谱分析的BP神经网络分析程序-BP NN for NIR/hyperspectral imaging .
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.
NMF
- matlab代码 nmf在高光谱中的应用-Application of NMF in hyperspectral
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.
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)