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The endmembers selection and spectral unmixing based on the optimal combination of the endmembers extracted by N-FINDR algorithm and SSWA algorithm

机译：基于N-FINCER算法和SSWA算法提取的终点的最佳组合的endmembers选择和光谱解密

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Jun Xu; Fuhong Xu;
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年度 2014
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1. Random N-Finder (N-FINDR) Endmember Extraction Algorithms for Hyperspectral Imagery [J] . Chang C.-IWu C.-C.Tsai C.-T. Image Processing, IEEE Transactions on . 2011,第3期

机译：高光谱图像的随机N-Finder（N-FINDR）端元提取算法
2. Fast Algorithms to Implement N-FINDR for Hyperspectral Endmember Extraction [J] . Xiong W., Chang C.-I, Wu C.-C., Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2011,第3期

机译：实现N-FINDR的高光谱端成员提取的快速算法
3. A spatial-spectral clustering-based algorithm for endmember extraction and hyperspectral unmixing [J] . Cheng Xiaoyu, Cai Zhouyin, Li Jia, International journal of remote sensing . 2021,第5a6期

机译：基于空间聚类的基于空间谱聚类的终点萃取和高光谱解密的算法
4. The Endmember Selection and Spectral Unmixing Based on the Optional Combination of the Endmembers Extracted by N-FINDR Algorithm and SSWA Algorithm [C] . Jun Xu, Fuhong Xu International Conference on Mechatronics, Electronic, Industrial and Control Engineering . 2015

机译：基于N-FindR算法和SSWA算法提取的终端中的可选组合的终点选择和光谱解密
5. Design and analysis of maximum simplex volume-based endmember extraction algorithms. [D] . Wu, Chao-Cheng. 2009

机译：设计和分析基于最大单纯形体的端成员提取算法。
6. Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images [O] . Jianwei Gao, Yi Sun, Bing Zhang, 2019

机译：基于多GPU的蚁群优化算法从高光谱图像中提取末端成员的并行设计
7. A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability [O] . Halimi Abderrahim, Dobigeon Nicolas, Tourneret Jean-Yves, 2015

机译：一种新的贝叶斯混合算法，用于高光谱图像，可减轻端成员变异性
8. A tool for manual endmember selection and spectral unmixing [R] . Bateson, C. Ann, Curtiss, Brian 1993

机译：用于手动端元选择和光谱分离的工具

The endmembers selection and spectral unmixing based on the optimal combination of the endmembers extracted by N-FINDR algorithm and SSWA algorithm

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