Space Retrieval Method to Retrieve Straight Line for Vector Line Data

Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 117-123.doi: 10.11896/jsjkx.210100084

• Intelligent Computing • Previous Articles Next Articles

Space Retrieval Method to Retrieve Straight Line for Vector Line Data

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

Online:2021-11-10 Published:2021-11-12
About author:LIU Ze-bang,born in 1998,postgra-duate,His main research interests include spatial geographic information system,spatial data analysis and geo-computation methods.
CHEN Luo,born in 1973,professor,Ph.D,Ph.D supervisor,is a senior member of China Computer Federation.His main research interests include geospatial information processing technology,geographic information system and technology,spatial database system and technology.
Supported by:
National Natural Science Foundation of China(41971362,41871284).

Abstract

Abstract: 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.

Key words: Flatness information, OSM road network, Spatial retrieval, Straight line, Subsection model, Vector line data

CLC Number:

TP391

LIU Ze-bang, CHEN Luo, YANG An-ran, LI Si-jie. Space Retrieval Method to Retrieve Straight Line for Vector Line Data[J].Computer Science, 2021, 48(11A): 117-123.

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