MULTICATEGORY TARGETS DETECTION OF HYPERSPECTRAL IMAGERY BASED ON ADAPTIVE STRUCTURED BACKGROUND AND SHAPE-FEATURE SUBSPACE

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

Journals >Journal of Infrared and Millimeter Waves >Volume 26 >Issue 5 >Page 353 > Article

Journal of Infrared and Millimeter Waves
Vol. 26, Issue 5, 353 (2007)

MULTICATEGORY TARGETS DETECTION OF HYPERSPECTRAL IMAGERY BASED ON ADAPTIVE STRUCTURED BACKGROUND AND SHAPE-FEATURE SUBSPACE

[in Chinese]^1、2, [in Chinese]², and [in Chinese]²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese]. MULTICATEGORY TARGETS DETECTION OF HYPERSPECTRAL IMAGERY BASED ON ADAPTIVE STRUCTURED BACKGROUND AND SHAPE-FEATURE SUBSPACE[J]. Journal of Infrared and Millimeter Waves, 2007, 26(5): 353 Copy Citation Text

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References

[1] David Stein,Jon Schoonmaker,Eric Coolbaugh.Hyperspectral imaging for intelligence,surveillance,and reconnaissance[R].AD Report A434124,2001.

[2] Chein-I Chang.Anomaly detection and classification for hyperspectral imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(6):1314-1325.

[6] Shawn Kraut,Louis L Scharf,Todd McWhorter L.Adaptive Subspace Detectors[J].IEEE Transactions on Signal Processing,2001,49(1):1-16.

[8] Montserrat Fuentes.A formal test for nonstationarity of spatial stochastic processes[J].Journal of Multivariate Analysis,2005,96(1):30-54.

[9] Anderson T W.An introduction to multivariate statistical analysis (3rd Edition)[M].Hoboken,New Jersey:John Willey & Sons,Inc.,2003.

CLP Journals

[1] BAI Yu, LIU Lina, ZHANG Ning, LIN Chen, SONG Wei, ZHU Xinzhong. Hyperspectral Image Anomaly Detection Based on Improved RX Incremental Learning[J]. Electronics Optics & Control, 2022, 29(2): 16

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