Research on adaptive model of remote sensing image segmentation based on graph theory

Author

Jiang, Hua ; Xu, Guilin ; Qin, Jing

Author_Institution

Comput. & Control Coll., Guilin Univ. of Electron. Technol., Guilin, China

Volume

6

fYear

2010

fDate

22-24 Oct. 2010

Abstract

The technology of adaptive analysis model of remote sensing image segmentation has specific analysis model and evaluation standard in every commercial applications. And the index and weight of evaluation have great subjectivity. It need introduce scientific method to determine the effective index. The image is descripted using the model of graph in this paper. The remote sensing image is segmentated by the Ncut algorithm in graph theory. Then the technology of the optimization is introduced into the the remote sensing image segmentation. The performance analysis and evaluation of the remote sensing image segmentation have the theoretical basis. And the effective adaptive analysis model has been achieved.

Keywords

geophysical image processing; graph theory; optimisation; remote sensing; Ncut algorithm; adaptive analysis model; graph theory; optimization; remote sensing image segmentation; Image segmentation; Optimization; Remote sensing; Adaptive segmentation; Efficiency analysis model; Objective optimization; Remote Sensing Image;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5620704

Filename

5620704