Zoning types of mountain forest restoration in the upper min river supported by image auto-recognition system
文献类型：会议论文
| 作者 | 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
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| 出版日期 | 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 |
| DOI | 10.1117/12.896501 |
| 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
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| 语种 | 英语 |
| ISSN号 | 0277786X |
| ISBN号 | 9780819485830 |
| 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. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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