ＡｐｐｌｉｃａｔｉｏｎｏｆＢａｙｅｓｉａｎｔｈｅｏｒｙｉｎｍｕｌｔｉｂａｎｄＳＡＲｉｍａｇｅｓｆｕｓｉｏｎ ｆｏｒｃｌａｓｓｉｆｉｃａｔｉｏｎ

ＹＵＥＪｉｎ; ＹＡＮＧＲｕ Ｌｉａｎｇ; ＨＵＡＮＲｕｏＨｏｎｇ

doi:10.7523/j.issn.2095-6134.2008.2.018

Journal of University of Chinese Academy of Sciences >

2008 , Vol. 25 >Issue 2: 257 - 263

DOI: https://doi.org/10.7523/j.issn.2095-6134.2008.2.018

ＡｐｐｌｉｃａｔｉｏｎｏｆＢａｙｅｓｉａｎｔｈｅｏｒｙｉｎｍｕｌｔｉｂａｎｄＳＡＲｉｍａｇｅｓｆｕｓｉｏｎｆｏｒｃｌａｓｓｉｆｉｃａｔｉｏｎ

ＹＵＥＪｉｎ ,
ＹＡＮＧＲｕＬｉａｎｇ ,
ＨＵＡＮＲｕｏＨｏｎｇ

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１ＩｎｓｔｉｔｕｔｅｏｆＥｌｅｃｔｒｏｎｉｃｓ，ＣｈｉｎｅｓｅＡｃａｄｅｍｙｏｆＳｃｉｅｎｃｅｓ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈｉｎａ；２ＧｒａｄｕａｔｅＵｎｉｖｅｒｓｉｔｙｏｆｔｈｅＣｈｉｎｅｓｅＡｃａｄｅｍｙｏｆＳｃｉｅｎｃｅｓ，Ｂｅｉｊｉｎｇ１０００４９，Ｃｈｉｎａ

Received date: 1900-01-01

Revised date: 1900-01-01

Online published: 2008-03-15

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Abstract

ＢａｙｅｓｉａｎｔｈｅｏｒｙｉｓａｐｐｌｉｅｄｔｏｃｌａｓｓｉｆｉｃａｔｉｏｎｏｆｍｕｌｔｉｂａｎｄＳＡＲｉｍａｇｅｓ．Ｔｈｅｆａｍｉｌｉａｒｆｕｓｉｏｎ
ｍｅｔｈｏｄｓｌｉｋｅｐｒｏｄｕｃｔ，ａｖｅｒａｇｉｎｇａｎｄｍｅｄｉａｎｒｕｌｅｓａｒｅｄｉｓｃｕｓｓｅｄ，ａｎｄｏｎｔｈｅｂａｓｅｏｆＢａｙｅｓｉａｎａｖｅｒａｇｉｎｇｍｅｔｈｏｄ，ｔｈｒｅｅｍｏｄｉｆｉｅｄｒｕｌｅｓａｒｅｐｒｏｐｏｓｅｄａｃｃｏｒｄｉｎｇｔｏｔｈｅｒｅｌａｔｉｏｎｓｈｉｐｂｅｔｗｅｅｎｃｌａｓｓｉｆｉｃａｔｉｏｎａｃｃｕｒａｃｙａｎｄｄｉｓｔａｎｃｅｆａｃｔｏｒｏｆ
ＳＡＲｉｍａｇｅ．Ｅｘｐｅｒｉｍｅｎｔａｌｒｅｓｕｌｔｓｓｈｏｗｔｈａｔｍｕｌｔｉｂａｎｄｆｕｓｉｏｎｃａｎｃｏｍｂｉｎｅｔｈｅｐｒｅｐｏｎｄｅｒａｎｃｅａｎｄｃｏｍｐｌｅｍｅｎｔａｒｙｉｎｆｏｒｍａｔｉｏｎｏｆｅａｃｈｂａｎｄａｎｄａｃｈｉｅｖｅｃｌａｓｓｉｆｉｃａｔｉｏｎｒｅｓｕｌｔｓｗｈｉｃｈｃｏｕｌｄｎ’ｔｂｅｇｏｔｉｎｓｉｎｇｌｅｂａｎｄ．Ｔｈｅｍｏｄｉｆｉｅｄｍｅｔｈｏｄｓｄｅｃｒｅａｓｅｔｈｅｅｆｆｅｃｔｏｆｔｈｅｗｒｏｎｇｃｌａｓｓｉｆｉｃａｔｉｏｎｉｎｆｏｒｍａｔｉｏｎｔｈｒｏｕｇｈｗｅｉｇｈｔｉｎｇａｎｄａｃｃｏｒｄｉｎｇｌｙｉｍｐｒｏｖｅｔｈｅｃｌａｓｓｉｆｉｃａｔｉｏｎａｃｃｕｒａｃｙ．

Key words： ＳＡＲｉｍａｇｅ; Ｂａｙｅｓｉａｎｔｈｅｏｒｙ; ｍｕｌｔｉｂａｎｄｆｕｓｉｏｎ; ｃｌａｓｓｉｆｉｃａｔｉｏｎ

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ＹＵＥＪｉｎ , ＹＡＮＧＲｕＬｉａｎｇ , ＨＵＡＮＲｕｏＨｏｎｇ . ＡｐｐｌｉｃａｔｉｏｎｏｆＢａｙｅｓｉａｎｔｈｅｏｒｙｉｎｍｕｌｔｉｂａｎｄＳＡＲｉｍａｇｅｓｆｕｓｉｏｎｆｏｒｃｌａｓｓｉｆｉｃａｔｉｏｎ[J]. Journal of University of Chinese Academy of Sciences, 2008 , 25(2) : 257 -263 . DOI: 10.7523/j.issn.2095-6134.2008.2.018

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