搜索资源列表
spectral-unmixing
- 高光谱遥感图像光谱解混的独立成分分析技术。-Independent component analysis of hyperspectral remote sensing image spectral unmixing techniques.
Hyperspectralunmixing-technique
- 研究非监督的高光谱图像混合像元的解混技术研究-Hyperspectral images in the case of non-supervision of mixed pixel unmixing technique
Endmember-Extraction-Codes
- 一些常用的高光谱解混方法的matlab代码-Hyperspectral unmixing method matlab code
Hyperspectral-image-unmixing
- 一篇高光谱图像解混的硕士论文，很详细-A hyperspectral image unmixing master' s thesis in great detail
VCA
- matlab中VCA算法的事例 用于高光谱像元解混-the algorithm of VCA
ica
- 高光谱遥感图像光谱解混的独立成分分析技术-Hyperspectral remote sensing image spectra unmixing independent component analysis
非负矩阵分解
- 盲信号分离中的非负矩阵分解，高光谱图像解混等等。
unmixing_overview
- 关于高光谱解混的代码 来源于hyperspectral unmixing 详细的说明可以见内部说明文件-Hyperspectral Solutions of mixed code hyperspectral unmixing can see a detailed descr iption of internal documentation
unmixed
- 用于遥感中的高光谱数据，实现无约束、合为1约束或非负约束条件下的端元解混-use for unmixing in hyperspectral remote sensing
RSFoBa-Demo
- 一种效果比较好的高光谱解混算法，模拟数据以及真实数据的实验都在，直接可以跑。-An effect good hyperspectral unmixing algorithm, experimental simulation data and real data are in, you can directly run.
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
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)
PCA
- 2种主成分分析方法，高光谱降维，基于实测光谱数据，光谱解混(endmember extraction matlab)
DemoMVSA
- 一种快速的高光谱解混算法，采用单形体体积最小为准则(A fast hyper spectral mixing method.Using the minimum volume of a single form as the criterion.)
CoNMF
- 一种优化的高光谱解混算法，满足两个约束条件。(An optimized hyperspectral unmixing algorithm that satisfies two constraints)
非负矩阵分解
- 实现高光谱图像的非负矩阵分解，可以在此基础上添加优化算法，实现更高精度和速度。(To achieve hyperspectral image's non negative matrix factorization, we can add optimization algorithm to achieve higher accuracy and speed.)
线性高光谱解混常用算法程序
- 涵盖了几种常用的基于线性混合模型的高光谱数据解混算法的代码，可以借鉴！(It covers several common codes of hyperspectral data fusion algorithm based on linear mixed model, which can be used for reference.)