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Polarimetric Correlation Coefficient Applied to Tree Classification(Special Issue on New Technologies in Signal Processing for Electromagnetic-wave Sensing and Imaging)
http://hdl.handle.net/10191/21349
http://hdl.handle.net/10191/21349e6831b0f-6389-4356-8c7f-326a5925439a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
110003212126.pdf (1.1 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2013-02-19 | |||||
| タイトル | ||||||
| タイトル | Polarimetric Correlation Coefficient Applied to Tree Classification(Special Issue on New Technologies in Signal Processing for Electromagnetic-wave Sensing and Imaging) | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | classification of target | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | tree canopy | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | since scattering matrix | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | polarimetric correlation coefficient | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Murase, Makoto
× Murase, Makoto× Yamaguchi, Yoshio× Yamada, Hiroyoshi |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Tree canopies contain various scattering elements such as leaves, branches and trunks, which contribute to complex back-scattering, depending on frequency and polarization. In this paper, we propose to use the polarimetric correlation coefficient for classifying trees, forests, and vegetations. The polarimetric correlation coefficient can be derived by the elements of Sinclair scattering matrix. Since the scattering matrix can be defined in any polarization basis, we examined the coefficient in the linear HV, circular LR, and optimum polarization bases. First, the change of correlation coefficient inside trees along the range direction is examined using small trees in a laboratory. The wider the range, the better the index. The coefficient defined in the LR polarization basis showed the largest change within tree canopy, which also contribute to retrieve scattering mechanism. Second, this index for discrimination is applied to polarimetric SAR data sets(San Francisco and Briatia area) acquired by AIRSAR and SIR-C/X-SAR. It is shown that polarimetric correlation coefficient in the LR basis best serves to distinguish tree types. | |||||
| 書誌情報 |
IEICE transactions on electronics en : IEICE transactions on electronics 巻 E84-C, 号 12, p. 1835-1840, 発行日 2001-12 |
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| 出版者 | ||||||
| 出版者 | The Institute of Electronics, Information and Communication Engineers | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 09168524 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA10826283 | |||||
| 権利 | ||||||
| 権利情報 | copyright(C)2001 IEICE | |||||
| 著者版フラグ | ||||||
| 値 | publisher | |||||
| 異版である | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | URI | |||||
| 関連識別子 | http://www.ieice.org/jpn/trans_online/ | |||||
