ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

{"_buckets": {"deposit": "81e81038-fca1-466e-8b10-163385e069ad"}, "_deposit": {"id": "1848", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "1848"}, "status": "published"}, "_oai": {"id": "oai:niigata-u.repo.nii.ac.jp:00001848", "sets": ["454", "425"]}, "item_5_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2001-12", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "12", "bibliographicPageEnd": "1840", "bibliographicPageStart": "1835", "bibliographicVolumeNumber": "E84-C", "bibliographic_titles": [{"bibliographic_title": "IEICE transactions on electronics"}, {"bibliographic_title": "IEICE transactions on electronics", "bibliographic_titleLang": "en"}]}]}, "item_5_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "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.", "subitem_description_type": "Abstract"}]}, "item_5_publisher_7": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "The Institute of Electronics, Information and Communication Engineers"}]}, "item_5_relation_31": {"attribute_name": "異版である", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "http://www.ieice.org/jpn/trans_online/", "subitem_relation_type_select": "URI"}}]}, "item_5_rights_15": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "copyright(C)2001 IEICE"}]}, "item_5_select_19": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_5_source_id_11": {"attribute_name": "書誌レコードID", "attribute_value_mlt": [{"subitem_source_identifier": "AA10826283", "subitem_source_identifier_type": "NCID"}]}, "item_5_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "09168524", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Murase, Makoto"}], "nameIdentifiers": [{"nameIdentifier": "5850", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamaguchi, Yoshio"}], "nameIdentifiers": [{"nameIdentifier": "19", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yamada, Hiroyoshi"}], "nameIdentifiers": [{"nameIdentifier": "50", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2019-07-29"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "110003212126.pdf", "filesize": [{"value": "1.1 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 1100000.0, "url": {"label": "110003212126.pdf", "url": "https://niigata-u.repo.nii.ac.jp/record/1848/files/110003212126.pdf"}, "version_id": "31629e05-ad4a-442c-a880-89ee90bcadb9"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "classification of target", "subitem_subject_scheme": "Other"}, {"subitem_subject": "tree canopy", "subitem_subject_scheme": "Other"}, {"subitem_subject": "since scattering matrix", "subitem_subject_scheme": "Other"}, {"subitem_subject": "polarimetric correlation coefficient", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Polarimetric Correlation Coefficient Applied to Tree Classification(Special Issue on New Technologies in Signal Processing for Electromagnetic-wave Sensing and Imaging)", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Polarimetric Correlation Coefficient Applied to Tree Classification(Special Issue on New Technologies in Signal Processing for Electromagnetic-wave Sensing and Imaging)"}]}, "item_type_id": "5", "owner": "1", "path": ["454", "425"], "permalink_uri": "http://hdl.handle.net/10191/21349", "pubdate": {"attribute_name": "公開日", "attribute_value": "2013-02-19"}, "publish_date": "2013-02-19", "publish_status": "0", "recid": "1848", "relation": {}, "relation_version_is_last": true, "title": ["Polarimetric Correlation Coefficient Applied to Tree Classification(Special Issue on New Technologies in Signal Processing for Electromagnetic-wave Sensing and Imaging)"], "weko_shared_id": 2}
  1. 060 工学部
  2. 10 学術雑誌論文
  3. 10 査読済論文
  1. 0 資料タイプ別
  2. 01 学術雑誌論文

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/10191/21349
e6831b0f-6389-4356-8c7f-326a5925439a
名前 / ファイル ライセンス アクション
110003212126.pdf 110003212126.pdf (1.1 MB)
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 http://purl.org/coar/resource_type/c_6501
タイプ journal article
著者 Murase, Makoto

× Murase, Makoto

WEKO 5850

Murase, Makoto

Search repository
Yamaguchi, Yoshio

× Yamaguchi, Yoshio

WEKO 19

Yamaguchi, Yoshio

Search repository
Yamada, Hiroyoshi

× Yamada, Hiroyoshi

WEKO 50

Yamada, Hiroyoshi

Search repository
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
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/
戻る
0
views
See details
Views

Versions

Ver.1 2021-03-01 09:01:15.403432
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3