{"created":"2021-03-01T06:34:06.806544+00:00","id":28317,"links":{},"metadata":{"_buckets":{"deposit":"e535820b-0a5d-4b85-b14e-a38b0fe29cef"},"_deposit":{"id":"28317","owners":[],"pid":{"revision_id":0,"type":"depid","value":"28317"},"status":"published"},"_oai":{"id":"oai:niigata-u.repo.nii.ac.jp:00028317","sets":["453:456","485:872:1583:1592"]},"item_7_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Local maximum filter method applied to GeoEye-1 panchromatic data for stand density estimation in Japanese cedar plantation"}]},"item_7_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2012-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"55","bibliographicPageStart":"49","bibliographicVolumeNumber":"65","bibliographic_titles":[{"bibliographic_title":"新潟大学農学部研究報告"},{"bibliographic_title":"新潟大学農学部研究報告","bibliographic_titleLang":"en"}]}]},"item_7_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本研究では単木梢端抽出法の一つである局所最大値フィルタ法に着目し、GeoEye-1パンクロマチック画像（分解能0.5m）においてスギ人工林の密度推定が可能かどうか検討した。今回、フィルタサイズ、ローパスフィルタ処理の有無、ラジオメトリック分解能低減の有無について検討し、スギ人工林密度推定に及ぼす効果について考察した。対象地は阿賀町たきがしら湿原周辺のスギ人工林である。３×３、５×５、７×７のフィルタサイズでそれぞれスギ樹冠の梢端を抽出し立木密度推定を行った。フィルタサイズと立木密度に負の相関関係が見られ、立木密度に応じて最適なフィルタサイズが変動することが確認された。画像データのノイズ軽減を目的としたローパスフィルタの有無を比較した結果、ローパスフィルタ無しでは梢端候補が過大に抽出されることが確認された。ラジオメトリック分解能についてはオリジナルの11ビットデータを８ビットに変換して処理を行ったが、推定結果にほとんど差異は認められなかった。最適なフィルタサイズを林分の状況に応じてどのように変動させるかが今後の課題である。","subitem_description_type":"Abstract"},{"subitem_description":"We focused on local maximum filtering method as one of the extraction methods for single tree apex, and performed the stand density estimation of Japanese cedar plantation using GeoEye-1 panchromatic image (0.5-m spatial resolution). In this paper, we examined about the effect of filter size of maximum filter, low-pass filter for noise reduction and radiometric resolution conversion on stand density estimation. The study area was Japanese cedar plantation stands located around Takigashira wetland in Aga town, Niigata. Stand density estimation was performed by the extraction of the apex of each crown with the filter size of 3x3, 5x5 and 7x7. There was negative correlation between the filter size and stand density, and it was confirmed that optimal filter size varied according to stand density. Image processing without the low-pass filter indicated the overestimation of stand density because apex candidate was extracted excessively. Although radiometric resolution was converted from original 11-bit data to 8-bit, both results were almost the same. The determination of optimal filter size according to the situation of a stand is a topic of future research.","subitem_description_type":"Abstract"}]},"item_7_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"162776","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Murakami, Takuhiko"}]},{"nameIdentifiers":[{"nameIdentifier":"162777","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Takahashi, Masahiro"}]}]},"item_7_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"新潟大学農学部"}]},"item_7_select_19":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_7_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00183393","subitem_source_identifier_type":"NCID"}]},"item_7_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"03858634","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"村上, 拓彦"}],"nameIdentifiers":[{"nameIdentifier":"162774","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"高橋, 雅博"}],"nameIdentifiers":[{"nameIdentifier":"162775","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":"2019-08-20"}],"displaytype":"detail","filename":"65(1)_49-55.pdf","filesize":[{"value":"797.1 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"65(1)_49-55.pdf","url":"https://niigata-u.repo.nii.ac.jp/record/28317/files/65(1)_49-55.pdf"},"version_id":"1be9b4a7-8c37-4111-90e7-567472caca88"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"局所最大値フィルタ法","subitem_subject_scheme":"Other"},{"subitem_subject":"スギ人工林","subitem_subject_scheme":"Other"},{"subitem_subject":"フィルタサイズ","subitem_subject_scheme":"Other"},{"subitem_subject":"ローパスフィルタ","subitem_subject_scheme":"Other"},{"subitem_subject":"GeoEye-1","subitem_subject_scheme":"Other"},{"subitem_subject":"local maximum filter","subitem_subject_scheme":"Other"},{"subitem_subject":"Japanese cedar plantation","subitem_subject_scheme":"Other"},{"subitem_subject":"filter size","subitem_subject_scheme":"Other"},{"subitem_subject":"low-pass filter","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"スギ人工林の密度推定を行うために局所最大値フィルタ法をGeoEye-1パンクロマチックデータに適用した研究","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"スギ人工林の密度推定を行うために局所最大値フィルタ法をGeoEye-1パンクロマチックデータに適用した研究"},{"subitem_title":"スギ人工林の密度推定を行うために局所最大値フィルタ法をGeoEye-1パンクロマチックデータに適用した研究","subitem_title_language":"en"}]},"item_type_id":"7","owner":"1","path":["456","1592"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-05-29"},"publish_date":"2013-05-29","publish_status":"0","recid":"28317","relation_version_is_last":true,"title":["スギ人工林の密度推定を行うために局所最大値フィルタ法をGeoEye-1パンクロマチックデータに適用した研究"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-15T03:58:16.557489+00:00"}