搜索资源列表
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
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.
hyperPpi
- 用于高光谱图像处理的端元提取，PPI方法能有效提取端元光谱。-HYPERPPI Performs the pixel purity index (PPI) algorithm Performs the pixel purity index algorithm for endmember finding.
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
11
- 高光谱图像端元提取算法研究进展与比较Hyperspectral image endmember extraction algorithm and compare progress.-Hyperspectral image endmember extraction algorithm and compare progress.
small_image
- MATLAB实现的高光谱图像的端元提取，可以自己下载高光谱图像，然后修改下程序就能用了。-MATLAB implementation of hyperspectral image endmember extraction of hyperspectral images can download and modify the following program can be used.
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
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
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
ATGP
- MATLAB实现高光谱端元提取ATGP算法-MATLAB code of Automatic Target Generation Process algorithm.
FCLS_v2
- MATLAB实现高光谱端元提取FCLS算法-MATLAB code of FCLS Algorithm
HFC
- MATLAB实现HFC高光谱端元提取算法-MATLAB code of HFC algorithm
UFCLS
- 实现非监督的FCLS算法进行高光谱图像端元提取-Unsupervised FCLS algorithm
NFINDR
- 高光谱端元提取算法 NFINDR算法实现代码-High spectral endmember extraction algorithm NFINDR algorithm implementation code
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)
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
9927420PPI
- 从检测的图像质量来看， 文中检测方法的效果是 最 好 的 ， 目 标 与 背 景 的 区 分 度 最 大 ， 其 次 是UGTP-OSP 检测方法 ，效果最差的是 WCM-CEM 检测方法。(A Multilevel Context-Based System for Classificationof Very High Spatial Resolution Images)
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)
纯像元指数
- 高光谱图像端元提取ppi算法，最基本的算法实现。