搜索资源列表
CRCPython-master
- all codes for hyperspectral image processing
NBC
- 迁移朴素贝叶斯分类器算法实现，可用于高光谱遥感图像处理-Migration naive Bayes classifier algorithm can be used for hyperspectral remote sensing image processing
leer1
- This some code for reading hyperspectral images aviris format to matlab-This is some code for reading hyperspectral images aviris format to matlab
MAP_HSI_MSI
- 构造仿真低空间分辨率的高光谱图像以及高空间分辨率的多光谱图像，通过MAP算法实现高光谱和多光谱图像融合，-MAP algorithm for the fusion of hyperspectral and multispectral images
ABS
- 对于高光谱波段降维中的ABS指数（Adaptive Band Selection）进行编程，计算每一个波段的ABS指数进行计算并排序，辅助高光谱波段降维。-ABS(Adaptive Band Selection) index for hyperspectral dimension reduction. The ABS index is calculated for each band and sorted.
EndmemberExtraction
- N-FINDR算法，高光谱图像无先验知识下的端元提取算法，最后计算每种端元的丰度-N-FINDR algorithm for hyperspectral image without prior knowledge of endmember extraction, and calculate the abundance
EOSap_Smoothing
- 能够实现对高光谱数据影像的平滑，可以根据需要设置平滑参数并且能够批量处理-Hyperspectral Smooth
vca
- 顶点成分分析，可以用于高维图像，比如，高光谱图像的端元提取，先验：数据中存在纯端元-Vertex component analysis, can be used in high-dimensional images, such as hyperspectral image endmember extraction, a priori: there is data in the pure end-member
svm用于hyperspectral分类程序
- 基本的使用libsvm对indian_pines数据集合分类。你也可以自己拓展到其他数据集。主要用于入门。很简单。
spectral
- show hyperspectral images with python in visual Studio .NET
Algorithms
- This booklet is intended only as a general introduction to hyperspectral imaging. In TNTmips, hyperspectral images can be processed and analyzed using the Hyperspectral Analysis process (choose Image / Hyperspectral Analysis the TNTmips menu).
SVM
- 高光谱图像的分类，适合各种光谱数据或者RGB图像。只需要调整输出路径就好了。-Hyperspectral image classification, for a variety of spectral data or RGB images. Only you need to adjust the output path just fine.
hyper_SAE
- 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.
readBil
- 采用Matlab下fread函数读取高光谱BIL文件数据-Using Matlab fread function to read hyperspectral BIL file data
Apple
- 高光谱图像处理程序示例，对苹果进行光谱检测，然后运用偏最小二乘法进行建模，预测苹果甜度。开发环境为matlab。-Hyperspectral image processing program example, Apple spectral detection, and then using partial least squares modeling, forecasting apple sweetness. Development environment for matlab.
colaborative-demo
- 基于协同稀疏表示的解混方法，因为每个端元的相似性，本文采用协同稀疏表示来约束每个像素采用相同位置系数不同的原子-Collaborative Sparse Regression for Hyperspectral Unmixing
DelNoise
- 高光谱影像随机噪声检测与平滑，matlab-Hyperspectral imaging detection and smoothing random noise, matlab
1
- 本代码是利用MATLAB打开高光谱后缀为raw的文件，来进行高光谱数据的分析。-This code is to use MATLAB to open the high spectral suffix for the raw file, to carry out the analysis of hyperspectral data.
whitenv
- 白噪化处理，这是高光谱图像数据降维的前预处理，也称为球化，在数据降维中必须用到-White noise process, which is pretreatment hyperspectral image data dimensionality reduction, also called the ball in the data dimensionality reduction must be used
band-selection
- 基于图像对比度和波段相关性的波段选择算法，适用于高光谱图像的特征选择-Bands selection algorithm based on image contrast and correlation of bands for hyperspectral image feature selection