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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
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
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
UnmixingCode
- Demo of hyperspectral unmixing in the presence of mixed
实验6_NMF-ICA
- 实现非负矩阵分解算法和独立成分分析，得到遥感遥感图像解混结果(The non negative matrix factorization algorithm and independent component analysis are implemented to get the unmixing results of remote sensing images)