Zoning types of mountain forest restoration in the upper min river supported by images auto-recognition system

摘要：

Image auto- recognition system is a processing platform for extracting the grid data of characteristic 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 images auto- recognition system and G1S technique to define and distinguish the boundary between natural restoration, 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.

关键词： component images auto-recognition system forest restoration the Upper Reaches of Min River, Zoning G1S map element vectorization

作者: Q. Wang Q. Zou F.C. Li C.L. Mu Y. Yu X. Ma Y.J. Jiang H. Lu

作者单位: School of Environment and Resource,Southwest University of Science and Technology,Mianyang, Sichuan Institute of Mountain Hazards and Environment, CAS, Chengdu, Sichuan Province, China The Graduate Sc Sichuan Academy of Forestry, Chengdu, Sichuan Province, China School of Environment and Resource,Southwest University of Science and Technolog Mianyang, Sichuan P

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 208-213

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）