A knowledge-based procedure for remote sensing image classification

Author

Limin Zhang ; Tao Xu ; Jianting Zhang ; Yingfu Yu

Author_Institution

Dept. of Sci. Res., Naval Aeronaut. & Astronaut. Univ., Yantai, China

fYear

2014

fDate

19-21 Aug. 2014

Firstpage

72

Lastpage

76

Abstract

Object-based image analysis (OBIA) in combination with domain knowledge is an important methodology for remote sensing image interpretation. It can deal with semantic gap effectively. In this paper, a knowledge-based procedure for remote sensing image classification is presented. Domain knowledge is represented with semantic network, which guides the initial classification of the image. A quantitative matching degree is used in the modification of the initial classification. The proposed procedure is much more efficient compared with method in literature.

Keywords

geophysical image processing; image classification; image matching; remote sensing; semantic networks; OBIA; domain knowledge representation; knowledge-based procedure; object-based image analysis; quantitative matching degree; remote sensing image classification; remote sensing image interpretation; semantic gap; semantic network; Image classification; Image segmentation; Knowledge based systems; Remote sensing; Semantics; Vegetation; Object-based image analysis; matching degree; remote sensing image classification; semantic network;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4799-5147-5

Type

conf

DOI

10.1109/FSKD.2014.6980809

Filename

6980809