MULTI-OBJECT SPATIAL RELATIONSHIP MODEL FOR HIGH SPATIAL RESOLUTION SCENE CLASSIFICATION

被引：0

作者：

Wu, Siqi ^{[1
]}

Zhao, Bei ^{[1
]}

Zhong, Yanfei ^{[1
]}

Zhang, Liangpei ^{[1
]}

机构：

[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

基金：

中国国家自然科学基金;

关键词：

scene classification; object-oriented classification; force histogram; spatial relationship;

D O I：

10.1109/IGARSS.2016.7729855

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Most of the existed scene classification methods classify the scenes ignoring the semantic ground objects for high spatial resolution imagery. Though lots of methods are proposed to recognize the objects, there are lack of methods modeling the spatial relationship between objects for scene classification. Besides, the frequency vector of the semantic objects in the scenes is inadequate to model the spatial relationship. Therefore, to acquire the semantic relationship among multiple objects or between the objects and the scene, this paper developed a multi-object force histogram (MOFH) to model the topology of multiple objects, and proposed a multiobject spatial relationship model (MOSRM) by combining the frequency vector of the ground objects and MOFH for the high spatial resolution scene classification. The experiments show that the proposed method can outperform the scene classification based on the frequency vector of the semantic objects.

引用

页码：3306 / 3309

页数：4

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