CLASSIFICATION ALGORITHM BASED ON SPATIAL CONTINUITY FOR HYPERSPECTRAL IMAGE

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

Journals >Journal of Infrared and Millimeter Waves >Volume 23 >Issue 4 >Page 299 > Article

Journal of Infrared and Millimeter Waves
Vol. 23, Issue 4, 299 (2004)

CLASSIFICATION ALGORITHM BASED ON SPATIAL CONTINUITY FOR HYPERSPECTRAL IMAGE

[in Chinese], [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], [in Chinese]. CLASSIFICATION ALGORITHM BASED ON SPATIAL CONTINUITY FOR HYPERSPECTRAL IMAGE[J]. Journal of Infrared and Millimeter Waves, 2004, 23(4): 299 Copy Citation Text

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References

[2] Carlotto Mark J. Spectral shape classification of landsat thematic mapper imagery[J]. Photogrammetric Engineering & Remote Sensing, 1998, 64(9): 905-913.

[4] ZHAO Yong-Chao, TONG Qing-Xi, ZHENG Lan-Fen, et al. A Kernel Adaptive Filter(SRSSHF) and Quality; Improvement Method for Hyperspectral Image on the Base of Spectral Dimension Recognition and Spatial Dimension Smoothing According to CSAM[C], SPIE:SPIE 2nd International Symposium on Multispectral Image Processing and Pattern Recognition, 2001, 4552, 230-236

[5] ZHANG Bing, ZHANG Xia, LIU Liang-Yun, et al. Spectral unmixing and image classification supported by spatial knowledge[C]. Proceedings of SPIE, 2003: 4897: 279-283

CLP Journals

[1] LIU Yong-zheng, LIU Xue-bin, HU Bing-liang. Spectrum Matching for Determining the Threshold of Interferogram Compression[J]. Opto-Electronic Engineering, 2009, 36(5): 145

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