{"created":"2023-05-15T12:35:11.550929+00:00","id":114,"links":{},"metadata":{"_buckets":{"deposit":"efb36ccc-6f25-4c24-b720-a8835fa2c3c9"},"_deposit":{"created_by":2,"id":"114","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"114"},"status":"published"},"_oai":{"id":"oai:kutarr.kochi-tech.ac.jp:00000114","sets":["5"]},"author_link":["417","415","416","414"],"item_2_alternative_title_21":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"人工衛星センサーにおけるポインティングの変動に伴う変化抽出誤差の低減法"}]},"item_2_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2006-05-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"23","bibliographicPageStart":"16","bibliographicVolumeNumber":"45","bibliographic_titles":[{"bibliographic_title":"写真測量とリモートセンシング"}]}]},"item_2_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"時系列リモートセンシングデータは,土地被覆変化抽出のためによく使われている。この土地被覆変化抽出は,リモートセンシングデータのピクセルが同じ場所をポインティングしているという前提で行われている。しかし実際には,時系列データのポインティング位置がずれている。現在,幾何補正の誤差による土地被覆変化抽出への影響は研究されているが,ポインティングのずれによる土地被覆変化抽出への影響は,あまり研究されてない。そこで,本研究は,ポインティングのずれによる影響を少なくする手法を提案する。そのとき,まずリモートセンシングデータは,サブピクセルの精度での幾何変換式を導く必要がある。そして,ある空間に固定されたグリッドを用意し,その各グリッドに分類結果を再配列させる。再配列は,空間に固定されたグリッドとリモートセンシングデータのピクセル境界とをオーバーレイさせ,面積の比例配分にしたがって行う。この再配列においては,ピクセル単位でカテゴライズされた分類結果であっても,結果的にミクセルとして表現されるため,始めからミクセル分解された分類手法を用いることが望ましい。したがって空間に固定されたグリッドへの再配列によって,ポインティング位置のずれの影響を少なくすることができる。シミュレーションによる評価を行ったところ,ピクセル同士を直接比較する変化抽出法よりも最大で50%の精度向上が期待できた。今回,2シーンのASTER画像を用いて提案する手法によって土地被覆変化抽出を試みた。幾何変換式は,IKONOS画像を用いてイメージマッチングにより平均二乗誤差0.25ピクセルの精度で導くことができた。ミクセル解析により分類を行い,固定されたグリッドに再配列し,変化抽出を実施した。その結果を画像化したところ,ピクセル同士を直接比較する変化抽出に比べて,ノイズの少ないシャープな結果を得ることができた。","subitem_description_type":"Abstract"},{"subitem_description":"Geometrically corrected time series satellite images are often used for landcover change detections. The change detections are carried out under the assumption that pixel boundaries of geometrically corrected time series satellite images cover the same location. However that assumption can be wrong when shifts in the pointing direction of a satellite sensor occur. Currently, although the influence of misregistration on landcover change detection has been investigated, there have been few researchs on the influence of pointing direction shifts of a satellite sensor. In this study, a simple method for reducing the effects of pointing direction shifts of a satellite sensor is proposed : the classification of two ASTER images was carried out using the spectral mixture analysis, the two classification results are resampled into a geometrically fixed grid, and then the change detection of the two ASTER images was carried out by comparing the resampled classification results of the two images. The proposed method showed high performance in discriminating between changed areas and unchanged areas by removing the influence of the pointing direction shifts of a satellite sensor.","subitem_description_type":"Abstract"}]},"item_2_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"416","nameIdentifierScheme":"WEKO"}],"names":[{"name":"鄭, 鍾赫"}]},{"nameIdentifiers":[{"nameIdentifier":"417","nameIdentifierScheme":"WEKO"}],"names":[{"name":"高木, 方隆"}]}]},"item_2_publisher_35":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本写真測量学会"}]},"item_2_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00111450","subitem_source_identifier_type":"NCID"}]},"item_2_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0285-5844","subitem_source_identifier_type":"ISSN"}]},"item_2_version_type_18":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"JEONG, Jong Hyeok"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"TAKAGI, Masataka"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-02-13"}],"displaytype":"detail","filename":"JJSPRS_45_2_16.pdf","filesize":[{"value":"7.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"JJSPRS_45_2_16.pdf","url":"https://kutarr.kochi-tech.ac.jp/record/114/files/JJSPRS_45_2_16.pdf"},"version_id":"b93f9e1a-6369-4918-969f-9a5a324d226d"}]},"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":"An Adapted Method for Removing Change Detection Errors due to Pointing Direction Shifts of a Satellite Sensor","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"An Adapted Method for Removing Change Detection Errors due to Pointing Direction Shifts of a Satellite Sensor"}]},"item_type_id":"2","owner":"2","path":["5"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-03-22"},"publish_date":"2011-03-22","publish_status":"0","recid":"114","relation_version_is_last":true,"title":["An Adapted Method for Removing Change Detection Errors due to Pointing Direction Shifts of a Satellite Sensor"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-15T13:44:25.269344+00:00"}