Tree crown detection and classification using forest imagery by IKONOS

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Author: Kubo, Mamoruほか

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Publication date: 2005-01-01

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Note (General)：: 金沢大学大学院自然科学研究科The purpose of this study is detection and classification of tree crowns using forest imagery taken by IKONOS. A forest image contains m...

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Material Type: 文書・図像類
Title: Tree crown detection and classification using forest imagery by IKONOS
Author/Editor: Kubo, Mamoru
Muramoto, Ken-ichiro
Author Heading: Kubo, Mamoru
Muramoto, Ken-ichiro
Publication Date: 2005-01-01
Publication Date (W3CDTF): 2005-01-01
Alternative Title: 5.IEEE-IGARSS in Seoul, Korea
Periodical title: Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Pages: 85-86
Text Language Code: eng
Target Audience: 一般
Note (General): 金沢大学大学院自然科学研究科
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.
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
Kamata, Naoto
Kawanishi, Takuya
Kubo, Mamoru
Liu, Jiyuan
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
Environmental Monitoring In East Asia ; Remote Sensing and Forests
identifier:International Geoscience and Remote Sensing Symposium (IGARSS) 6, art. no. 1525884, pp. 4358-4361
Access Restrictions: 限定公開
Rights (production): Institute of Electrical and Electronics Engineers (IEEE)
Related Material: http://dx.doi.org/10.1109/IGARSS.2005.1525884
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 金沢大学 : 金沢大学学術情報リポジトリKURA