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Tree crown detection and classification using forest imagery by IKONOS
http://hdl.handle.net/2297/6330
http://hdl.handle.net/2297/6330bd99fa9d-93bd-4b69-b7c1-b017466fc747
名前 / ファイル | ライセンス | アクション |
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C0000003306-85.pdf (3.9 MB)
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Item type | 報告書 / Research Paper(1) | |||||
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公開日 | 2017-10-05 | |||||
タイトル | ||||||
タイトル | Tree crown detection and classification using forest imagery by IKONOS | |||||
言語 | ||||||
言語 | eng | |||||
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 | |||||
その他のタイトル | ||||||
その他のタイトル | 5.IEEE-IGARSS in Seoul, Korea | |||||
著者 |
Kubo, Mamoru
× Kubo, Mamoru× Muramoto, Ken-ichiro |
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提供者所属 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 金沢大学大学院自然科学研究科 | |||||
書誌情報 |
Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International p. 85-86, 発行日 2005-01-01 |
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その他の識別子 | ||||||
内容記述タイプ | Other | |||||
内容記述 | International Geoscience and Remote Sensing Symposium (IGARSS) 6, art. no. 1525884, pp. 4358-4361 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The purpose of this study is detection and classification of tree crowns using forest imagery taken by IKONOS. A forest image contains many tree crowns of different sizes and shape that are touching each other. By using IKONOS pan-sharpened data, discernment of tree crown and species is possible. To detect tree crowns in the image, we used Watershed segmentation. If an image is viewed as a surface, with mountains and valleys, the Watershed segmentation finds intensity valleys in an image. In this study, a gradient of intensity in an image was used in order to find valleys separating tree crowns from shadows. To classify tree species, the spatial features of each segmented region were calculated. Image features for the classification were extracted by texture analysis using gray level co-occurrence matrix. Image texture is produced by an aggregation of unit features, such as tree leaves and leaf shadows. Variations in crown texture are important in the identification of species. Supervised classification using maximum likelihood decision rules with these features was performed. Classification accuracies on the order 80% were achieved. © 2005 IEEE. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Project Number 14404021, Peport of Research Project ; Grant-in-Aid for Scientific Research(B)(2), from April 2002 to March 2006, Edited by Muramoto,Ken-ichiro | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Kamata, Naoto | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Kawanishi, Takuya | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Kubo, Mamoru | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Liu, Jiyuan | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Lee, Kyu-Sung , 人工衛星データ活用のための東アジアの植生調査、課題番号14404021, 平成14年度~平成17年度科学研究費補助金, 基盤研究(B)(2)研究成果報告書, 研究代表者:村本, 健一郎, 金沢大学自然科学研究科教授 | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Environmental Monitoring In East Asia ; Remote Sensing and Forests | |||||
権利 | ||||||
権利情報 | Institute of Electrical and Electronics Engineers (IEEE) | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
関連URI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | http://dx.doi.org/10.1109/IGARSS.2005.1525884 |