基于ArcEngine的空间分析关键技术的研究与应用  

Research and Apply on Key Technology of the Spatial Analysis based on Arc Engine

作　　者：赵珂[1] 胡亚龙[1] 

机构地区：[1]南昌航空大学,南昌330063

出　　处：《南昌航空大学学报（自然科学版）》2014年第4期20-24,共5页Journal of Nanchang Hangkong University(Natural Sciences)

基　　金：江西省自然科学基金(20122BAB201026)

摘　　要：通过对卫星数据的分析所得到的矢量数据是没有位置信息等属性的,本技术主要是对这些矢量数据进行空间分析,赋予其位置信息等属性,从而对粮食作物(小麦、玉米)种植面积和设施面积进行监测。通过介绍空间分析中点与多边形拓扑关系的判断和多边形与多边形拓扑关系的判断,实现中心点法和面积占优法两种方法的属性挂接。研究表明:中心点法一般适用于具有连续分布且图斑较大的地理要素,如小麦和玉米等大面积种植的粮食作物;而面积占优法则适用于分类较小且图斑较小的设施等地理要素。Abstract：The vector data obtained by the Satellite analysis usually have no position information. This paper mainly analyzes the spatial vector data to determine its position information, monitoring the planting area of the crops （wheat, corn） and the facilities area. Moreover, we introduces determine of relationship between point and polygon and the relationship between the polygon and polygon in spatial analysis. The attribute connection of the central point method and the preponderant area method both are achieved. According to the research, the result shown that the central point method is suited to the continuous and large-polygon geographic feature, Such as wheat and corn and other large-scale cultivation crops, while the preponderant area method is suitable for the sub-classification and small-polygon geographic feature.

关 键 词：空间分析 属性挂接 拓扑 多边形裁剪法 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]