A Technique for Generating Natural Color Images Based on Local Endmembers

ZHOU Ya-nan; LUO Jian-cheng; SHEN Zhan-feng; CHENG Xi; HU Xiao-dong

doi:10.3964/j.issn.1000-0593(2013)12-3349-05

Journals >Spectroscopy and Spectral Analysis >Volume 33 >Issue 12 >Page 3349 > Article

Spectroscopy and Spectral Analysis
Vol. 33, Issue 12, 3349 (2013)

A Technique for Generating Natural Color Images Based on Local Endmembers

ZHOU Ya-nan^1、2、*, LUO Jian-cheng¹, SHEN Zhan-feng¹, CHENG Xi^1、2, and HU Xiao-dong¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2013)12-3349-05 Cite this Article

ZHOU Ya-nan, LUO Jian-cheng, SHEN Zhan-feng, CHENG Xi, HU Xiao-dong. A Technique for Generating Natural Color Images Based on Local Endmembers[J]. Spectroscopy and Spectral Analysis, 2013, 33(12): 3349 Copy Citation Text

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References

[3] Zhu Changming, Luo Jiancheng, Ming Dongping, et al. International Journal of Remote Sensing, 2012, 33(4): 1309.

[6] Cheng Yizong, Mean Shift, Mode Seeking, et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(8): 790.

[7] Cortes Corinna, Vapnik Vladimir. Support-Vector Networks. Machine Learning, 1995, 20(3): 273.

[9] Granahan J C, Sweet J N. IEEE 2001 International Geoscience and Remote Sensing Symposium, 2001, 5: 2022.

[10] Miao Lidan, QI Hong. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(3): 765.

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