Research on adaptive model of remote sensing image segmentation based on graph theory
Hua Jiang, Guilin Xu, Jing Qin · 2010
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.