Target detection algorithm in hyperspectral image based on CEM

[in Chinese]; [in Chinese]; [in Chinese]

Journals >Opto-Electronic Engineering >Volume 34 >Issue 7 >Page 18 > Article

Opto-Electronic Engineering
Vol. 34, Issue 7, 18 (2007)

Target detection algorithm in hyperspectral image based on CEM

[in Chinese], [in Chinese], and [in Chinese]

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[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese]. Target detection algorithm in hyperspectral image based on CEM[J]. Opto-Electronic Engineering, 2007, 34(7): 18 Copy Citation Text

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References

[1] Harsanyi J C,Chang C -I.Hyperspectral Image Classification and Dimensionality Reduction:An Orthogonal Subspace Projection[J].IEEE Trans.Geosci.and Remote Sens,1994,32(4):779-785.

[2] Harsanyi J C.Detection and Classification of Subpixel Spectral Signatures in Hyperspectral Image Sequences[D].Baltimore:Dept.of Electrical Engineering,Univ.of Maryland Baltimore County,1993.

[3] Qian Du,Hsuan Ren.Performance Analysis for CEM and OSP[J].SPIE,2002,4725:501-508.

[4] Chang C-I.Orthogonal Subspace Projection (OSP) Revisited:A Comprehensive Study and Analysis[J].IEEE Trans.Geosci.and Remote Sens,2005,43(3):502-518.

[5] Plaza A,Martínez P,Pérez P,et al.A Quantitative and Comparative Analysis of Endmember Extraction Algorithms From Hyperspectral Data[J].IEEE Trans.Geosci.and Remote Sens,2004,42(3):650-663.

CLP Journals

[1] NIAN Yong-jian, ZHANG Zhi, WANG Li-bao, WAN Jian-wei. Target Segmentation for Hyperspectral Imagery Based on FastICA[J]. Acta Photonica Sinica, 2010, 39(6): 1003

[in Chinese], [in Chinese], [in Chinese]. Target detection algorithm in hyperspectral image based on CEM[J]. Opto-Electronic Engineering, 2007, 34(7): 18

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