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Region segmentation of multi-spectral remote sensing images based on JSEG algorithm
https://doshisha.repo.nii.ac.jp/records/497
https://doshisha.repo.nii.ac.jp/records/497d6ee7bf5-f689-4000-96e5-7b33a9657481
Item type | 報告書 / Research Paper(1) | |||||||||||
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公開日 | 2010-12-10 | |||||||||||
タイトル | ||||||||||||
言語 | ja | |||||||||||
タイトル | Region segmentation of multi-spectral remote sensing images based on JSEG algorithm | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
キーワード | ||||||||||||
主題 | Region segmentation, multi-spectral remote sensing image, JSEG algorithm | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_18ws | |||||||||||
資源タイプ | research report | |||||||||||
アクセス権 | ||||||||||||
アクセス権 | metadata only access | |||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||||||||
著者 |
村松, 加奈子
× 村松, 加奈子
WEKO
573
× 醍醐, 元正× Liu, Tingting× Li, Pingxiang× Zhang, Liangpei |
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著者所属(英) | ||||||||||||
en | ||||||||||||
Liu, Tingting / Wuhan University, Nara Women's University | ||||||||||||
著者所属(英) | ||||||||||||
en | ||||||||||||
Muramatsu, Kanako / Department of Advanced Information and Computer Sciences, School of Interdisciplinary Scientific Phenomena and Information, Nara Women's University / Kyousei Science Center for Life and Nature, Nara | ||||||||||||
著者所属(英) | ||||||||||||
en | ||||||||||||
Daigo, Motomasa / Doshisha University | ||||||||||||
著者所属(英) | ||||||||||||
en | ||||||||||||
Li, Pingxiang / Wuhan University, China | ||||||||||||
著者所属(英) | ||||||||||||
en | ||||||||||||
Zhang, Liangpei / Wuhan University, China | ||||||||||||
抄録 | ||||||||||||
内容記述タイプ | Abstract | |||||||||||
内容記述 | Image segmentation is the basic of extracting and recognizing interesting region, and it also is the key step of image analysis. Region-based JSEG algorithm is a new image segmentation algorithm not only considers color information but also considers spatial information, and also has a good effect in region segmentation for ordinary images and video images. In this paper, JSEG algorithm is introduced to segment remote sensing images, and is also improved to be applicable to segment multi-spectral remote sensing images and VHR remote sensing images which contain complicated texture characters, and original remote sensing image spectra replaced by some ground cover parameters can make difference between different ground cover more obviously. Experiments demonstrate it can solve fuzzy region boundary problem effectively which is caused by complicated land object information. | |||||||||||
言語 | en | |||||||||||
内容記述 | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | 研究ノート(note) | |||||||||||
言語 | ja | |||||||||||
書誌情報 |
ja : 同志社大学ワールドワイドビジネスレビュー en : Doshisha University world wide business review 巻 10, p. 26-34, 発行日 2009-02-28 |
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出版者 | ||||||||||||
言語 | ja | |||||||||||
出版者 | 同志社大学ワールドワイドビジネス研究センター | |||||||||||
出版者(英) | ||||||||||||
言語 | en | |||||||||||
出版者 | Research Center for World Wide Business, Doshisha University | |||||||||||
ISSN | ||||||||||||
収録物識別子タイプ | PISSN | |||||||||||
収録物識別子 | 18806198 | |||||||||||
書誌レコードID | ||||||||||||
収録物識別子タイプ | NCID | |||||||||||
収録物識別子 | AA1147629X | |||||||||||
権利者情報 | ||||||||||||
権利者名 | 同志社大学ワールドワイドビジネス研究センター | |||||||||||
言語 | ja | |||||||||||
権利者名 | Research Center for World Wide Business, Doshisha University | |||||||||||
言語 | en | |||||||||||
関連サイト | ||||||||||||
関連タイプ | isFormatOf | |||||||||||
識別子タイプ | URI | |||||||||||
関連識別子 | https://doors.doshisha.ac.jp/opac/opac_link/bibid/SB00953498/?lang=0 | |||||||||||
言語 | ja | |||||||||||
関連名称 | 掲載刊行物所蔵情報へのリンク / Link to Contents | |||||||||||
日本十進分類法 | ||||||||||||
主題 | 512.75 |