搜索资源列表
N_FINDR
- 包含高光谱图像读取及格式转换，端元提取算法N-FINDR-Contains the hyperspectral image reading and format conversion, endmember extraction algorithm for N-FINDR
6Adaptive-band-hyperspectral-
- 6自适应波段选择高光谱图像融合使用互信息。国际会议信息融合2005 _guo_fusion_a-6 Adaptive band selection for hyperspectral image fusion using mutual information . International Conference on Information Fusion 2005_guo_fusion_a
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
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
Classification
- 两种高光谱图像降维算法用于分类，一种基于分块张量分解，另一种基于一种新型的图像块相似度-two novel dimensionality reduction methods for HSI classificaion
TUCKER-denoising
- 一种新型的基于Tucker张量分解的高光谱图像降噪算法，性能优于传统的维纳滤波-a novel method based on Tucker decomposition for HSI denoising
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
hyperspectral
- 用于高光谱图像处理的matlab程序，包括图像融合，降维和图像的极大似然分类程序-For hyperspectral image processing matlab procedures, including image fusion, image dimension reduction and maximum likelihood classification procedure
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
- 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.
UFCLS
- 实现非监督的FCLS算法进行高光谱图像端元提取-Unsupervised FCLS algorithm
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.
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
PPI
- 高光谱图像处理，ppi算法，MATLAB，可以直接使用，纯像元指数端元提取- Hyperspectral image processing, ppi algorithms, MATLAB, can be used directly as the dollar index pure endmember extraction
read_envi
- 高光谱图像的MATLAB读取的函数，作为子函数，可以直接使用- MATLAB function reads hyperspectral image as a subroutine can be used directly
PPI
- 高光谱图像端元提取PPI算法，能够快速提取出候选端元-Hyperspectral image is the extraction algorithm of PPI, able to quickly extract candidate components
PCA
- 高光谱图像PCA算法（注释详尽） 将传统的PCA算法应用于高光谱遥感中，实现光谱图像的数据降维-PCA algorithm for hyperspectral image The traditional PCA algorithm is applied to hyperspectral remote sensing, the realization of spectral image data dimensionality reduction