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Description: 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 unmixing technology now is being increasingly used. On the basis of it,studying unmixing ways engaged by endmembers in different conditions, comparing and discussing a more effective expression mode of endmembers.
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Size: 3348480 |
Author: zbj |
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Description: simplisma算法，可用于多光谱分解-simplisma for multi-spectrum unmixing
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Size: 2048 |
Author: erin |
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Description: 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.
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Size: 17408 |
Author: 木军阳 |
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Description: 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
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Size: 4096 |
Author: wangjianmin |
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Description: 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
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Size: 483328 |
Author: lkingpo |
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Description: 可变神经网络结构下的遥感影像光谱分解方法。提出一
种可变神经网络结构的方法，逐步去除负值丰度对应的端元，并调整相应的网络结构使之针对剩余的端元进行分解。-Spectral Unmixing M ethod 0f Rem ote Sensing Images
in riable Architecture of Neural Network
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Size: 536576 |
Author: iris |
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Description: 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
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Size: 1458176 |
Author: 钟云 |
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Description: 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.
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Size: 659456 |
Author: 钟云 |
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Description: 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
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Size: 8880128 |
Author: 钟云 |
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Description: 一些常用的高光谱解混方法的matlab代码-Hyperspectral unmixing method matlab code
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Size: 6144 |
Author: zihanhuang |
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Description: 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 reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.
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Size: 1024 |
Author: Fresnel |
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Description: 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
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Size: 553984 |
Author: 孙婷 |
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Description: 利用高空间分辨率的多光谱图像和低空间分辨率的高光谱图像通过CNMF方法进行数据融合得到高空间分辨率的高光谱图像的方法-Coupled nonnegative matrix factorization (CNMF)
unmixing is proposed for the fusion of low-spatial-resolution hy-
perspectral and high-spatial-resolution multispectral data to pro-
duce fused data with high spatial and spectral resolutions
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Size: 1092608 |
Author: rufeng |
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Description: 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
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Size: 659456 |
Author: wang |
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Description: 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
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Size: 5083136 |
Author: Coral |
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Description: DEGENERATE UNMIXING ESTIMATE TECHNIQUE B-DEGENERATE UNMIXING ESTIMATE TECHNIQUE BSS
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Size: 713728 |
Author: chawki |
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Description: 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
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Size: 5120 |
Author: kathy |
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Description: 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
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Size: 7168 |
Author: 时老黑 |
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Description: Spatial-Spectral Preprocessing Prior to Endmember
Identification and Unmixing of Remotely Sensed
Hyperspectral Data
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Size: 2605056 |
Author: mina |
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Description: spectral unmixing of hyper spectral images
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Size: 5120 |
Author: faraj
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