搜索资源列表
simplisma
- simplisma算法，可用于多光谱分解-simplisma for multi-spectrum unmixing
The unmixing of hypers pectral imagery
- 高光谱图像的解译是遥感图像应用的一个重要环节。基于线性光谱混合模型的光谱解译技术正在越来越广泛地应用。仿真结果表明，当部分端元参与解译和分区域进行解译时，高光谱图像的解译效果会得到较显著改善。-The unmixing of Hyperspectral imagery is a critical link of the application of remote sensing imagery. Based on linear spectral mixture model, spectral u
ica_code
- ICA独立成分分析，利用混合信号解出各个独立信号，被用于图像解混。-ICA Independent component analysis, the use of mixed-signal solution of the individual signals to be used for image unmixing.
unmixing
- 对于遥感影像亚像元尺度信息的获取，常用手段就是混合象元分解-spectral unmixing
sisal_demo
- 高光谱解混合方法，变分增强拉格朗日线性解混合方法。-A Variable splitting Augmented Lagragian Approach to Linear Spectral Unmixing
N-FINDR
- 介绍混合像元解混里面的端元提取算法N-FINDR-Describes the mixed pixel unmixing inside endmember extraction algorithm N-FINDR
Endmember-Extraction-Codes
- 一些常用的高光谱解混方法的matlab代码-Hyperspectral unmixing method matlab code
Process
- Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reductio
ICA
- Independent Component Analysis Play a Role in Unmixing Hyperspectral Data-This paper studies the impact of hyperspectral source statistical dependence on ICA and IFA performances
Procedures-for-the-ICA
- 程序为ICA的调用函数，输入为观察的信号，输出为解混后的信号-Procedures for the ICA call the function, enter the observed signal, the output signal unmixing
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
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
compairusgs
- 实现解混光谱与光谱库里对应光谱的比对，可以找到光谱库里与其最相近的光谱，可以进行直观的评价-Spectroscopy and Spectral unmixing achieve Curry corresponding spectra comparison, you can find their closest spectral library spectra can be visually evaluated
demo_sparse_tv
- 基于全变分空间正则化的稀疏超普解混算法的MATLAB程序-Matlab programs for “Total variation spatial regularization for sparse hyperspectral unmixing”
IPLS_v1.0.tar
- 主要用来解决超谱方面图像处理，能解决很多现实问题-This toolbox allows to solve the linear unmixing problem encountered in hyperspectral imagery
Demo_nLCA-IVM
- 高光谱混合像元分解算法，效率很高，比较新，是一个台湾的大牛写的-Hyperspectral unmixing algorithms, high efficiency, relatively new, is a large cattle written Taiwan
GMM
- 高斯混合模型用于混合像元分解全过程，包括训练样本选取、筛选、分解及精度评定。matlab实现-the matlab code of GMM for mixed pixels unmixing
FCM
- matlab实现在端元已知时fuzzy c-means 算法混合像元分解，并根据测试点进行精度评定-matla code of FCM for mixed pixels unmixing
UnmixingCode
- spectral unmixing of hyper spectral images
Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing
- Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing.By Wei He