CAJ | 학술논문

针对土地利用数据综合中图斑的化简处理,将智能体技术引入到图斑的综合处理过程中,建立了顾及多种条件的图斑重要性判断的决策机制,将可操作的几何、语义控制指标融入到推理中,实现了从图斑重要性判断到尺度变换算子选择的自动化过程,最后通过实际生产进行检验,结果显示该过程能够大幅度地提高生产效率,并能够很好地维护土地利用数据的面积平衡性以及全覆盖、无重叠、无缝隙的特征.该研究可为多比例尺国土资源数据库提供技术支持.
침대토지이용수거종합중도반적화간처리,장지능체기술인입도도반적종합처리과정중,건립료고급다충조건적도반중요성판단적결책궤제,장가조작적궤하、어의공제지표융입도추리중,실현료종도반중요성판단도척도변환산자선택적자동화과정,최후통과실제생산진행검험,결과현시해과정능구대폭도지제고생산효솔,병능구흔호지유호토지이용수거적면적평형성이급전복개、무중첩、무봉극적특정.해연구가위다비례척국토자원수거고제공기술지지.
The purpose of this research was to settle the complex issue of handling land use patches in land use data generalization and putting into use the principles and methods of the Agent-based technology through the analysis of the features of the land use patch itself. These patches include the shape, width, size, land use types, and the context of the land use patch which contains the space, semantic neighboring relationship, and the importance in the cartographic region. It also establishes a decision-making mechanism to judge the importance of the land use patch while taking into account a variety of criteria, and considers the geometry and semantic indicators integrated into the reasoning process which can be controlled and operated via an automated procedure from judging the importance of the land use patch to the selection of the scale transformation operators. The researchers conducted an experiment to generalize the land use data of a town from 1:10000 to 1:20000, making use of an agent-based software which was developed for land use data generalization. According to the decision-making mechanism and generalization process mentioned above, the results show that the amount of the land use type and the sum area in the cartographic region remain the same before and after generalization, and the area of the data in which the land use type is road or river is narrow polygon reduced considerably because of the use‘CollapseToLine’ operator. Using the‘Eliminate’ operator to generalize the data in which the land use type is pits cannot meet the threshold of the minimum area, resulting in loss of the area. In addition to the other area of each land use type data changed a little. The generalized data have no topology errors after using ArcGIS software topology to check, and keep the feature of full coverage with no overlap and no gap, and shortens the time from one week in the past to one day now which used to generalize this data, greatly improving the efficiency of generalization. Because the selection of operators was a computer process based on decision-making reasoning mechanisms, reducing the human participation, the generalization efficiency has been improved for the same data mapping area and equipment and the time was shortened from one week in the past to one day now. The experiments proved that the decision-making reasoning mechanism in land-use patch generalization in this paper is reasonable, and can be applied to actual production data.