摘要
形状的认知是空间认知基本问题之一。直线作为最基本的形状,对直线的识别和检索在设备布设、路线规划、车辆测试等方面具有重要的研究意义。针对传统方法对遥感栅格影像进行直线识别时效率低、准确率不高的问题,以矢量数据为研究对象,提出矢量线数据的直线形状空间检索方法。首先,定义“平直度信息量”并提出平直度信息量度量方法,以此描述线要素平直情况;接着,建立了线要素平直序列分段模型,将线要素划分为一组较平直的子段序列;综上两部分,将线要素分段后计算子段平直度信息量,并结合检索条件得到最终检索结果。以OSM路网数据为研究对象,通过实验对比验证该检索方法速度更快,检索结果更全,并且直线道路检索结果不仅在形状上与人的认知相符,而且检索结果中高级道路占比达71.1%,小路仅占2.8%,这与现实中平直道路的属性认知也相符,验证了该方法的可行性与合理性。
Shape cognition is one of the basic problems of spatial cognition.As the most basic shape-line,the retrieval based on it has important research significance in equipment layout,route planning and vehicle testing.Aiming at the problem of low efficiency and low accuracy in line recognition of remote sensing image by traditional methods,this paper presents a space retrieval method to retrieve straight line for vector line data.Firstly,in order to describe the flatness of line elements,the concepts of“flatness information”are defined.Then the subsection model of the flat sequence of line elements is established,the line elements are decomposed into a set of relatively straight subsegment sequences.Combined with the above two parts,the flatness information of subsegment is calculated after segmenting the line elements,and the final retrieval results are obtained by combining the retrieval conditions.Taking OSM roads network data as the research object,comparative tests verify that the retrieval method is faster,the retrieval results are more fully,and straight line roads search results are consistent with people’s cognitive in shape.Moreover,the proportion of high-grade roads is 71.1%,and the proportion of small roads is only 2.8%,which is also consistent with the cognition of the property of straight roads in reality,and verifies the feasibility and rationality of the method.
作者
刘泽邦
陈荦
杨岸然
李思捷
LIU Ze-bang;CHEN Luo;YANG An-ran;LI Si-jie(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China)
出处
《计算机科学》
CSCD
北大核心
2021年第S02期117-123,共7页
Computer Science
基金
国家自然科学基金(41971362,41871284)。
关键词
空间检索
矢量线数据
直线
平直度信息量
分段模型
OSM路网
Spatial retrieval
Vector line data
Straight line
Flatness information
Subsection model
OSM road network
