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一种端元可变的混合像元分解方法

DOI: 10.11834/jig.200608185

Keywords: 端元可变,混合像元,遥感,影像分类

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Abstract:

混合像元线性分解是高光谱影像处理的常用方法,它使用相同的端元矩阵对像元进行分解,其结果是分解精度不高。为此提出了一种端元可变的混合像元分解方法,在确定端元矩阵时,首先考察混合像元与端元的光谱相似性,结合地物空间分布特点,实现了可变端元的混合像元分解。试验结果表明,该分解方法分解精度优于传统线性模型,符合实际情况。

References

[1]  Charles Ichoku,Arnon Kamieli.A review of modeling technique for sub-pixel land cover estimation[J].Remote Sensing Reviews,1996,13(3):161 ~186.
[2]  Petrou Maria,Foschi Patricia G.Confidence in linear spectral unmixing of single pixels[J].IEEE Transactions on Geoscience and Remote Sensing,1999,37 (1):624 ~ 626.
[3]  Tu T M,Huang P S,Chen P Y.Blind separation of spectral signatures in hyperspectral imagery[J].IEEE Transactions on Image Processing,2001,148 (4):217 ~ 225.
[4]  Chen Shu-peng,Tong Qing-xi,Guo Hua-dong.Research on Mechanism of Remote Sensing Infromation[M].Beijing:Science Publishing Company,1998.[陈述彭,童庆喜,郭华东.遥感信息机理研究[M].北京:科学出版社,1998.]
[5]  Plaza A,Martinez P,Perez R.A quantitative and comparative analysis of endmember extracion algorithms from hyperspectral data[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(3):650 ~663.
[6]  Fabio Maselli.Multiclass spectral decomposition of remotely sensed scense by selective pixel unmixing[J].IEEE Transactions on Geoscience and Remote Sensing,1998,36(5):1809 ~ 1820.

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