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《Journal of Beijing Forestry University》 2003-S1
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Application of auxiliary information to improve forest classification capability and forest division.

You Xiaobin; Wang Lei.School of Resources and Environment,Beijing For. Univ.,100083,P.R.China.  
Because of same object with different spectra, different objects with same spectrum, topographical influence, different soil moisture contents, the capability of applying remote sensing data on forest classification is reduced. Many scholars has studied how to improve classification accuracy by using expert system, neurotic network, inverse model, but the results are not satisfying sometimes due to the complicated topography and high vegetation fragmentation. So a lot of researchers have turned their focus to auxiliary information. The auxiliary data has important reference value on vegetation classification. Map and derived DEM has important effect not only on classification, but also on stand division.
【CateGory Index】: S757.2
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【Co-citations】
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【Secondary References】
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