登录    注册    忘记密码

详细信息

基于边界锁定的二类调查方法研究     被引量:5

Subcompartment Dividing Method in Forest Management Survey Based on Edge Locking Technique

文献类型:期刊文献

中文题名:基于边界锁定的二类调查方法研究

英文题名:Subcompartment Dividing Method in Forest Management Survey Based on Edge Locking Technique

作者:刘鹏举[1] 黄水生[1] 谢阳生[1] 侯瑞霞[1] 唐小明[1]

第一作者:刘鹏举

机构:[1]中国林业科学研究院资源信息研究所

年份:2006

期号:z1

起止页码:51-55

中文期刊名:林业科学

外文期刊名:Scientia Silvae Sinicae

收录:CSTPCD;;Scopus;北大核心:【北大核心2004】;CSCD:【CSCD2011_2012】;

基金:国家863课题"数字林业平台技术研究与应用"(2003AA209060)。

语种:中文

中文关键词:森林资源调查;小班区划;GIS;边界锁定;自动编码

外文关键词:forest resources investigation; subcompartment division; GIS; edge locking; autocoding

分类号:S757.2+7

摘要:对基于GIS进行森林资源二类调查多人协作中维护图形数据一致性问题进行研究。在区划工作流程中,提出以边界锁定技术为核心的一系列辅助功能,从方法与技术上保障区划的一致性,提高了工作效率。应用基于拓扑关系的多边形数据模型,提出以小班边界与多边形编码为基础的图形分割方法,实现了小班区划过程数据的逐级分割以及区划结果的逐级合并汇总。在区划中,开发边界锁定技术保证了相邻区域区划结果公共边界的一致性;采用自动编码技术,提高了编码的工作效率。通过合理的组织过程,形成一个高效的小班区划流程,有效地解决了多人协作中小班边界的一致性。分析与实际应用表明本文的方法在保证数据精度及其完整性的基础上,有效地提高了区划的工作效率,具有很好的应用价值。
The consistency of boundary was studied where many people work together in forest resource survey based on GIS. Based on workflow of subcompartment dividing,a series of supplementary functions taken the edge locking as its center were developed to ensure the consistency of division and to improve efficiency of wark.By the application of topological polygon data model,the graphic breaking up method was proposed to realize the parent region auto-dividing into child region and auto-merging the divisions into the whole region step by step based on region and boundary code. During the division,Edge locking and autocoding technique were developed to ensure the consistency of boundary and improve efficiency of coding work. A optimized workflow was presented by applying above technique and give a good solution for multi-person cooperation. The analysis and practical application showed that the method presented will improve the efficiency and possess a good application value.

参考文献:

正在载入数据...

版权所有©中国林业科学研究院 重庆维普资讯有限公司 渝B2-20050021-8 
渝公网安备 50019002500408号 违法和不良信息举报中心