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Object-oriented information extraction of forest resources from high resolution remote sensing

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成果类型:
期刊论文、会议论文
作者:
Mo, Dengkui*;Lin, Hui;Sun, Hua;Li, Jiping;Xiong, Yujiu;...
通讯作者:
Mo, Dengkui
作者机构:
[Mo, Dengkui; Li, Jiping; Lin, Hui; Sun, Hua] Cent South Univ Forestry & Technol, Dept Source & Environm, Shaoshan Rd 498, Changsha 410004, Hunan, Peoples R China.
[Xiong, Yujiu] Beijing Normal Univ, Coll Resource Sci & Technol, Beijing 100875, Peoples R China.
[Liu, Tailong] Cent South Acad Forest Inventory & Planning, State Forestry Adm, Changsha 410014, Hunan, Peoples R China.
通讯机构:
[Mo, Dengkui] C
Cent South Univ Forestry & Technol, Dept Source & Environm, Shaoshan Rd 498, Changsha 410004, Hunan, Peoples R China.
语种:
英文
关键词:
object oriented;image segmentation;mean shift;image analysis;classification;forest resource
期刊:
Proceedings of SPIE - The International Society for Optical Engineering
ISSN:
0277-786X
年:
2006
卷:
6419
页码:
641916-1-641916-6
会议名称:
Remotely Sensed Data and Information:Geoinformatics 2006
会议论文集名称:
Remotely Sensed Data and Information:Geoinformatics 2006
会议时间:
2006-01-01
会议地点:
Wuhan,China
主编:
Liangpei Zhang<&wdkj&>Xiaoling Chen
基金类别:
National Natural Science Foundation [30471391]; Natural Science Foundation of Hunan Province [02JJBY005]; Science Fund of Hunan Provincial Education Department [04B059]
机构署名:
本校为第一且通讯机构
院系归属:
林学院
摘要:
Remote sensing is a powerful tool for precision forestry, providing the forestry industry with spatial information on environment impacts, growth and yield, site variables and damage assessment. Nonetheless the extraction of information from remotely sensed imagery is presently labor intensive requiring highly qualified remote sensing experts, making this information source expensive and slow. With the improvement of spatial resolution, very high resolution remote sensing image are now a competitive alternative to aerial photography and field visits in forest resource survey. In recent years, ...

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