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  1. B. 理工学域; 数物科学類・物質化学類・機械工学類・フロンティア工学類・電子情報通信学類・地球社会基盤学類・生命理工学類
  2. b 10. 学術雑誌掲載論文
  3. 1.査読済論文(工)

Identification of individual tree crowns from satellite image and image-to-map rectification

http://hdl.handle.net/2297/9571
http://hdl.handle.net/2297/9571
a28e2d1f-5b63-4da3-8ff0-43472dfdc1ef
名前 / ファイル ライセンス アクション
TE-PR-KUBO-M-1905.pdf TE-PR-KUBO-M-1905.pdf (246.9 kB)
Item type 会議発表論文 / Conference Paper(1)
公開日 2017-10-03
タイトル
タイトル Identification of individual tree crowns from satellite image and image-to-map rectification
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_5794
資源タイプ conference paper
著者 Kubo, Mamoru

× Kubo, Mamoru

WEKO 158
金沢大学研究者情報 90249772
研究者番号 90249772

Kubo, Mamoru

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Nishikawa, Sun

× Nishikawa, Sun

WEKO 10214

Nishikawa, Sun

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Yamamoto, Eiji

× Yamamoto, Eiji

WEKO 10215

Yamamoto, Eiji

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Muramoto, Ken-ichiro

× Muramoto, Ken-ichiro

WEKO 89
e-Rad 70042835
研究者番号 70042835

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知能情報・数理
書誌情報 International Geoscience and Remote Sensing Symposium (IGARSS)

p. 1905-1908, 発行日 2008-01-01
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 10.1109/IGARSS.2007.4423198
出版者
出版者 Institute of Electrical and Electronics Engineers (IEEE)
抄録
内容記述タイプ Abstract
内容記述 In forest area, there are few landmarks to be ground control points (GCPs) used for registration of satellite images or maps. Additionally, geographic information from the Global Positioning System (GPS) in field measurement survey is insufficient accuracy to identify individual tree crowns from satellite image. In this study, we propose the method of identifying individual tree crowns from satellite image using field measured data. First, in order to obtain the field measured data, we collected several information of individual trees in the test site. These are the tree stand locations, the distances between the tree trunk and outermost branch in eight directions, the diameter at breast height, and tree species. This survey was carried out on 20 September 2006. The area of this site is 160 meter by 80 meter, and there are about 60 canopy trees. Then, using the field measured data, we created the projected on-ground crown map which has the location and shape of individual trees. The each shape of tree crown is octagonal. Next, we detected the regions of tree crown from satellite image. In this study, we used an IKONOS panchromatic satellite image. The spatial resolution of analysis image is 1 meter per pixel. It can be recognized and identified an individual tree crown whose radius is more than 2 or 3 meter. Watershed algorithm was used for image segmentation, based on mathematical morphology considers gray-scale images to be sets of points in a three-dimensional space, the third dimension being the gray level. A gray scale landscape may be segmented according to the watersheds of the image. The segmented regions were classified to discriminate tree crown using the feature of spectral signature. Finally, we found out individual tree crowns related with field measured data from satellite image. Using a GCP by GPS equipment, we performed roughly registration of the satellite image to the projected onground crown map. For each tree crown in the map, we found out the same tree, which has the highest corresponding possibility to the tree crown in the map, among segmented regions obtained from satellite image. This tree-to-tree matching algorithm was performed using the fitness value of the location and octagonal shape of both tree crowns in image and map. We could obtain the optimum registration by affine transformation of highest fitness value without ground control points. Consequently, we could identify individual tree crowns from satellite image by imageto-map rectification. © 2007 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
シリーズ
関連名称 4423198
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