CAJ | 학술논문

要素变化信息对地物生命周期的记录、时空数据库的构建、GI S数据库的更新有重要意义。针对大数据量的变化信息发现，本文采用基于格网划分的方法，通过对空间特征与属性特征汇总信息的对比，只对发生变化的格网进行检测，缩小了检测范围与空间查询区域。为解决要素变化前后的匹配问题，提出一种最优组合匹配法，通过对组合对象空间特征及语义特征的综合比较，从候选要素中选取最佳匹配对象。试验证明，该方法能够高效准确地实现大数据量的矢量数据变化信息的探测，并能很好地解决非一对一的要素匹配问题。
요소변화신식대지물생명주기적기록、시공수거고적구건、GI S수거고적경신유중요의의。침대대수거량적변화신식발현，본문채용기우격망화분적방법，통과대공간특정여속성특정회총신식적대비，지대발생변화적격망진행검측，축소료검측범위여공간사순구역。위해결요소변화전후적필배문제，제출일충최우조합필배법，통과대조합대상공간특정급어의특정적종합비교，종후선요소중선취최가필배대상。시험증명，해방법능구고효준학지실현대수거량적시량수거변화신식적탐측，병능흔호지해결비일대일적요소필배문제。
The change‐only information is important to the recording of object life cycle ,the establishment of spatial‐temporal database and the updating of GIS database .To solve the problem of low efficiency of traditional method in change detection when the data volume is large ,we proposed a highly efficient method of change detection based on the grid‐partitioning of data and the comparison of synthesis of spati al and attribute information .This method only detects the changed grid to reduce the detection region . In order to solve the matching problem of old features and new features ,we propose a method named optimal combination‐matching method .The method selects the optimally matched features through the comparison of the characteristic of spatial information and semantic information .The method’ s high efficiency and accuracy in change detection of large volume of spatial data and matching of changed features is validated by experiment .