Spatial-scene similarity retrieval based on shape and spatial relation

被引：0

作者：

Tian Z.-Y. ^{[1
]}

Men C.-G. ^{[1
]}

Tang Y.-N. ^{[1
]}

机构：

[1] College of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, Heilongjiang

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2016年 / 44卷 / 08期

关键词：

Shape description; Spatial data retrieval; Spatial relation description; Spatial-scene similarity;

D O I：

10.3969/j.issn.0372-2112.2016.08.018

中图分类号：

G252.7 [文献检索]; G354 [情报检索];

学科分类号：

摘要：

To solve the problem of low efficiency and poor accuracy on spatial data retrieval, this paper proposes a scene similarity retrieval method based on spatial object shape description model, spatial relationship description model and adaptive scene similarity computing model. Spatial object shape description model can accurately retrieve database objects satisfied with the sample object shape constraints, and improve the space object shape recognition accuracy. Spatial relationship description model can retrieve database scenes satisfied with relationship constraints of the sample scene, and improve the spatial relationship description precision. Adaptive scene similarity computing model can mark and sequence complete or incomplete matching scenes satisfied with shape and relationship constraints, improve the rationality of similarity scores on retrieval results. Experiments of simulative and real scenes show the scene similarity retrieval has a good retrieval performance. © 2016, Chinese Institute of Electronics. All right reserved.

引用

页码：1892 / 1898

页数：6

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