CLASSIFICATION ALGORITHM BASED ON SPATIAL CONTINUITY FOR HYPERSPECTRAL IMAGE
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P237

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    Abstract:

    Based on the spatial continuity of ground objects, a new classification algorithm was proposed by two steps, namely blocking images followed by further classification, which improved the disadvantage of the general classification algorithms constrained by only spectral information. The new algorithm proposed in this study was validated by the 80-band hyperspectral image acquired by the push broom hyperspectral imager(PHI) in Minamimaki of Japan, 2000. The PHI sensor was developed by the Shanghai Institute of Technical Physics. It turned out that our algorithm embodied the advantage in classifying hyperspectral image.

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GENG Xiu-Rui, ZHANG Xia, CHEN Zheng-Chao, ZHANG Bing, ZHENG Lan-Fen, TONG Qing-Xi. CLASSIFICATION ALGORITHM BASED ON SPATIAL CONTINUITY FOR HYPERSPECTRAL IMAGE[J]. Journal of Infrared and Millimeter Waves,2004,23(4):299~302

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  • Received:
  • Revised:February 26,2003
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