Use of Multi-Polarimetric Enhanced Images in SIR-C/X-SAR Land-Cover Classification
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概要
- 論文の詳細を見る
This paper presents a method for land cover classification using the SIR-C/X-SAR imagery based on the maximum likelihood method and the polarimetric filtering. The main feature is to use polarimetric enhanced image information in the pre-processing stage for the classification of SAR imagery. First, polarimetric filtered images are created where a specific target is enhanced versus another, then the image data are incorporated into the feature vector which is essential for the maximum likelihood classification. Specific target classes within the SAR image are categorized according to the maximum likelihood method using the wavelet transform. Addition of polarimetric enhanced image in the preprocessing stage contributes to the increase of classification accuracy. It is shown that the use of polarimetric enhanced images serves efficient classifications of land cover.
- 社団法人電子情報通信学会の論文
- 1997-11-25
著者
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Yamaguchi Yoshio
Faculty of Engineering, Niigata University
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YAMADA Hiroyoshi
Faculty of Engineering, Niigata University
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Yamaguchi Y
Niigata Univ. Niigata Jpn
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Yamaguchi Y
Niigata Univ. Jpn
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Yamaguchi Yoshio
Faculty Of Engineering Niigata University
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Yamaguchi Yoshio
Dept. Of Information Engineering Niigata University
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Yamada Hiroyoshi
Faculty Of Engineering Niigata University
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Yamada Hiroyoshi
Dept. Of Information Engineering Niigata University
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Nagai T
Department Of Electrical And Electronic Engineering Tokyo Institute Of Technology
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Yamada H
Faculty Of Engineering Niigata University
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Yamaguchi Y
Faculty Of Engineering Niigata University
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Yamaguchi Y
Niigata University
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NAGAI Takeshi
Faculty of Engineering, Niigata University
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Yamada Hiroyoshi
The Department Of Information Engineering Niigata University
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Yamaguchi Yoshio
Niigata Univ. Niigata‐shi Jpn
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