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.
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
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
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
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
Linear-constrained
- 使用matlab实现有约束条件的最小二乘法混合像元线性分解-matlab code of linear LS unmixing
Endmember
- 关于混合像元中N-FINDR算法的程序编辑-N-FINDR for Unmixing Pixel
colaborative-demo
- 基于协同稀疏表示的解混方法，因为每个端元的相似性，本文采用协同稀疏表示来约束每个像素采用相同位置系数不同的原子-Collaborative Sparse Regression for Hyperspectral Unmixing
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
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.
lsmm
- 基于ENVI-idl的线性光谱混合分解模型代码-Linear Spectral Unmixing Model
matlabHyperspectralToolbox-master
- 目标检测物质丰度图（MAM）生成光谱解混合自动处理更改检测可视化读取/写入文件(Target detection Material abundance map (MAM) generation Spectral unmixing Automated processing Change detection Visualization Reading / writing files)
VCA
- 顶点成分分析法，适用于高光谱遥感图像混合像元分解(The vertex component analysis method is suitable for hyperspectral remote sensing image unmixing)
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