Automatic Extraction of Changed Region Based on Maximal Variance Between-class

MENG Yu; ZHAO Zhong-ming; LIU Xing-chun; TANG Quan

Journals >Opto-Electronic Engineering >Volume 35 >Issue 12 >Page 63 > Article

Opto-Electronic Engineering
Vol. 35, Issue 12, 63 (2008)

Automatic Extraction of Changed Region Based on Maximal Variance Between-class

MENG Yu^1、2、*, ZHAO Zhong-ming¹, LIU Xing-chun³, and TANG Quan^1、2

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: Cite this Article

MENG Yu, ZHAO Zhong-ming, LIU Xing-chun, TANG Quan. Automatic Extraction of Changed Region Based on Maximal Variance Between-class[J]. Opto-Electronic Engineering, 2008, 35(12): 63 Copy Citation Text

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References

[3] Sign A.Digital change detection techniques using remotely sensed data[J].International Journal of Remote Sensing,1989,10(6):989-1003

[4] Otsu N.A threshold selection method from gray-level histogram[J].IEEE Transactions on Systems,Man and Cybernetics,1979,9(1):62-66

[5] Reddi S S,Rudin S F,Keshavan H R.An optimal multiple threshold scheme for image segmentation[J].IEEE Trans On Systems,Man,and Cybernetics,1984,14(4):661-665

[9] Bruzzone L,Cossu R.An Adaptive Approach to Reducing Restration Noise Effects in Unsupervised Change Detection[J].IEEE Transaction on Geoscience and Remote Sensing,2003,41(11):2455-2465

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MENG Yu, ZHAO Zhong-ming, LIU Xing-chun, TANG Quan. Automatic Extraction of Changed Region Based on Maximal Variance Between-class[J]. Opto-Electronic Engineering, 2008, 35(12): 63

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