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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
VCA_compress
- 高光谱图像的顶点成分分析，在没有先验知识背景下，提取图像中的端元
hyperspectral-data-processing 高光谱数据处理基本算法
- 高光谱数据处理基本算法，异常点检测，端元提取，丰度图K均值聚类，PCA算法-anomalydetection endmemberExtraction Kmeansclustering by abundancemap PCA NAPCA
HyperSpec.rar
- 高光谱数据处理,可以进行常规光谱分析,图像分类等,矿物提取,Hyperspectral data processing
hyperIcaEea
- 适用于高光谱图像目标检测的端元提取，该方法效果好-HYPERICAEEA Performs the ICA-Endmember Extraction Algorithm HyperIcaEea performs the ICA-EEA algorithm to generate abundance maps and find pure pixels. This function utilizes FastICA.
MATLAB
- 毕设内容，高光谱图像基本处理，主要实现单波段提取与伪彩色图像合成功能，提供程序框架，更多功能只需嵌入即可。另用MATLAB写了其GUI。-Complete set content, the basic processing of hyperspectral images, mainly for single-band pseudo-color image extraction and synthesis, to provide procedural framework, more feature
AdaptiveFeatureSelectionforHyperspectralDataAnalys
- 高光谱数据分析中的自适应特征提取算法adaptive feature selection-Hyperspectral data analysis adaptive feature extraction algorithm adaptive feature selection
PCAfunction
- 对高光谱图像进行主成分分析，提取其中的主要信息-Hyperspectral images of the principal component analysis, extracting one of the main information
imagefeatureextractionmethod
- 桌红外图像特征提取方法研究。基于模糊核主成分分析的高光谱遥感影像特征提取研究。-Table infrared image feature extraction method.
N_FINDR
- 高光谱遥感影像端元提取算法，采用单形体体积最小为准则-N-FINDR algorithm for endmember extraction using hperspectral remote sensing data
提取像素值
- 使用opencv 提取像素点，工具vs2013(Extracting pixel points)
ATGP_2
- 用于高光谱端元提取的自动目标识别算法的matlab实现(The matlab code for ATGP algorithm for endmember finding)
单样品提取
- 对采集的高光谱图像利用envi处理，对处理后图像进行提取光谱(Hyperspectral Image Extraction Spectrum)
多条提取
- 将采集高光谱图像利用envi处理后，可以进行对其进行光谱信息提取与处理(Will be collected hyperspectral image using envi treatment, you can carry out its spectral information extraction and processing)
高光谱解混端元提取
- 高光谱ppi端元提取方法，高光谱解混编程，高效运行绝对有效
12485172Hyperspectralunmixing-technique
- 高光谱的端元提取算法的编程，里面有好几个呢，可以试试(This paper proposes a novel pixel-based systemfor the supervised classification of very high geometrical (spa-tial) resolution images. This system is aimed at obtaining ac-curate and reliable maps both by preserving the geo
程序_光谱解混_修订
- 高光谱数据光谱端元提取方法，和解混方法，包括PPI SGA VCA ATGP FCLS(Hyperspectral data spectral end element extraction method, conciliatory mixing method)
读取高光谱图像
- 利用matlab程序读取高光谱图像，批量提取感兴趣区域(Matlab reading of hyperspectral images)
无信息变量消除法提取特征
- UVE提取特征，数据为高光谱数据，感兴趣区域数据，最后一列为标签(Uve extracts features, hyperspectral data, region of interest data, and the last column is label)
GA提取特征
- GA提取特征，数据为高光谱数据，感兴趣区域数据，最后一列为标签(GA extracts features, hyperspectral data, region of interest data, and the last column is label)