An unsupervised algorithm for the selection of endmembers in hyperspectral images

机译：一种在高光谱图像中选择端成员的无监督算法

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摘要

An efficient algorithm for endmember selection is illustrated. Endmembers are estimated by an unsupervised segmentation procedure based on spectral analysis. Preliminary results obtained on experimental data are presented and discussed.

机译：说明了用于端成员选择的有效算法。通过基于光谱分析的无监督分割程序来估计末端成员。提出并讨论了从实验数据获得的初步结果。

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《Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International》|2002年|p.1673-1675|共3页
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Acito; N.; Corsini; G.; Diani; M.;
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中图分类无线电电子学、电信技术;
关键词
geophysical techniques; geophysical signal processing; terrain mapping; vegetation mapping; remote sensing; multidimensional signal processing; image segmentation; image processing; geophysical measurement technique; land surface; terrain mapping; ve;

机译：地球物理技术;地球物理信号处理;地形图;植被测绘;遥感;多维信号处理;图像分割图像处理;地球物理测量技术;陆地表面地形图; ve;

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专利

1. Maximin distance based band selection for endmember extraction in hyperspectral images using simplex growing algorithm [J] . Ganesan Veera Senthil Kumar, Vasuki S. Multimedia Tools and Applications . 2018,第6期

机译：基于Maximin距离的波段选择，使用单纯形增长算法提取高光谱图像中的端元
2. Clustering based band selection for endmember extraction using simplex growing algorithm in hyperspectral images [J] . Kumar Veera Senthil G., Vasuki S. Multimedia Tools and Applications . 2017,第6期

机译：基于聚类的波段选择，使用高光谱图像中的单纯形增长算法提取端成员
3. A Binary Social Spider Optimization algorithm for unsupervised band selection in compressed hyperspectral images [J] . Shukla Urvashi Prakash, Nanda Satyasai Jagannath Expert Systems with Application . 2018,第MAY期

机译：压缩高光谱图像中无监督波段选择的二进制社交蜘蛛优化算法
4. An unsupervised algorithm for the selection of endmembers in hyperspectral images [C] . N. Acito, G. Corsini, M. Diani IEEE International Geoscience and Remote Sensing Symposium . 2002

机译：一种无监督算法，用于在高光谱图像中选择终端用
5. Finding Endmember Classes and Endmembers in Hyperspectral Images. [D] . Gao, Cheng. 2016

机译：在高光谱图像中查找最终成员类和最终成员。
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. UNSUPERVISED ENDMEMBER EXTRACTION: APPLICATION TO HYPERSPECTRAL IMAGES FROMMARS [O] . Bin Luo, Jocelyn Chanussot 2016

机译：未经监督的最终提取：应用于来自马尔的高光图像
8. Improved Feature Extraction, Feature Selection, and Identification Techniques That Create a Fast Unsupervised Hyperspectral Target Detection Algorithm [R] . Johnson, R. J. 2008

机译：改进的特征提取，特征选择和识别技术，创建快速无监督的高光谱目标检测算法

An unsupervised algorithm for the selection of endmembers in hyperspectral images

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