Zoning types of mountain forest restoration in the upper min river supported by image auto-recognition system
Wang, Q.1; Zou, Q.2,3; Li, F.C.2,3; Mu, C.L.4; Yu, Y.1; Ma, X.1; Jiang, Y.J.1; Lu, H.1
2011
会议日期2011-4-15
会议地点Chengdu
关键词component images auto-recognition system forest restoration the Upper Reaches of Min River, Zoning, GIS map element vectorization
卷号8009
DOI10.1117/12.896501
页码800914
国家China
英文摘要Image auto- recognition system is a processing platform for extracting the grid data ofcharacteristic element from original map and converting grid data to vector data. Selecting five maps about precipitation, evaporation, vegetation, soil erosion, and human activities, this paper applied imagesauto- recognition system and GIS technique to define and distinguish the boundary between naturalrestoration, human reconstruction and arid zone in the Upper Reaches of Min River. The results show that: images auto-recognition system efficiently extracted the grid data of characteristic element from original landscape patterns, and converted the grid data to vector data accurately. 
源文献作者SPIE
产权排序2
会议录Proceedings of SPIE - The International Society for Optical Engineering
语种英语
ISSN号0277786X
ISBN号9780819485830
内容类型会议论文
源URL[http://ir.imde.ac.cn/handle/131551/25941]  
专题成都山地灾害与环境研究所_山区发展研究中心
成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
中国科学院水利部成都山地灾害与环境研究所
作者单位1.School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan Province, China;
2.Institute of Mountain Hazards and Environment, CAS, Chengdu, Sichuan Province, China;
3.Graduate School, Chinese Academy of Sciences, Beijing, China;
4.Sichuan Academy of Forestry, Chengdu, Sichuan Province, China
推荐引用方式
GB/T 7714
Wang, Q.,Zou, Q.,Li, F.C.,et al. Zoning types of mountain forest restoration in the upper min river supported by image auto-recognition system[C]. 见:. Chengdu. 2011-4-15.
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