Title :
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
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;
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
DOI :
10.1109/ICCASM.2010.5620704
