Anomaly Detection in Hyperspectral Imagery Based on Feature Fusion of Band Subsets

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

Journals >Acta Photonica Sinica >Volume 34 >Issue 11 >Page 1752 > Article

Acta Photonica Sinica
Vol. 34, Issue 11, 1752 (2005)

Anomaly Detection in Hyperspectral Imagery Based on Feature Fusion of Band Subsets

[in Chinese], [in Chinese], [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], [in Chinese], [in Chinese]. Anomaly Detection in Hyperspectral Imagery Based on Feature Fusion of Band Subsets[J]. Acta Photonica Sinica, 2005, 34(11): 1752 Copy Citation Text

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References

[5] Yu X,Reed I S,Stocker A D.Comparative performance analysis of adaptive multispectral detectors.IEEE Transactions on Signal Processing,1993,41(8):2639～2656

[6] Yu X,Hoff L E,Reed I S,et al.Automatic target detection and recognition in multispectral imagery:A unified ML detection and estimation approach.IEEE Transactions on Image Processing,1997,6(1):143～156

[7] Joseph C H.Detection and Classification of Subpixel Spectral Signature in Hyperspectral Image Sequences.Ph.D.dissertation,University Maryland,Baltimore County,1993.56～80

[8] Dempster A P.Upper and lower probabilities induced by a multi-valued mapping.Ann Mathematical Statistics,1967,38(2):325～339

[9] Shafer G.A Mathematical Theory of Evidence.Princeton:Princeton University Press,1976

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[4] ZHAO Chun-hui, HU Chun-mei, BAO Yu-gang. A Kind of Anomaly Detection Algorithm for Hyperspectral Image through Background Error Cumulation[J]. Acta Photonica Sinica, 2010, 39(10): 1830

[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Anomaly Detection in Hyperspectral Imagery Based on Feature Fusion of Band Subsets[J]. Acta Photonica Sinica, 2005, 34(11): 1752

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