Modeling Spatial Relationships for Remote Sensing Image Processing Based on Fuzzy Set Theory

Author

Zhige, Jia ; Xiaoli, Liu

Author_Institution

Inst. of Seismol., China Earthquake Adm., Wuhan

Volume

4

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

1101

Lastpage

1104

Abstract

Spatial information is a crucial aspect of image processing, computer vision and structural recognition for modeling context as well as resolving the uncertainties caused by the ambiguities in low-level features. This calls for the framework of fuzzy sets, which exhibits nice features to represent spatial imprecision, and which provides powerful tools for fusion, decision-making and reasoning. In this paper, we present that several spatial fuzzy relationships constructed from fuzzy set operators and norms, and suggest some potential applications in structural object recognition and image retrieval based on fuzzy spatial relationships.

Keywords

fuzzy set theory; image recognition; image retrieval; object recognition; computer vision; decision making; fuzzy set operators; fuzzy set theory; image retrieval; remote sensing image processing; spatial fuzzy relationships; spatial information; structural object recognition; structural recognition; Computer vision; Context modeling; Fuzzy set theory; Fuzzy sets; Image processing; Image recognition; Image resolution; Remote sensing; Spatial resolution; Uncertainty; degree of inclusion; degree of intersection; equality index; fuzzy set theory; image processing; spatial relationships;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.1446

Filename

4722811