Abstract
Intelligent transportation system is the future development of traffic systems. Higher precision map requires a higher absolute coordinate accuracy. However, cluster labels cloud be connected to the wrong pixels near the edges of regions, and edges will be misplaced. This paper proposed a fast Manifold Spectrum Clustering Algorithm for the fuzzy-edge of intelligent traffic remote sensing image. we first construct the fuzzy edge of remote sensing image, then analyze and evaluate the influence degree of the fuzzy edge on detailed image, and proposed a spectrum clustering method based on manifold to improve the accuracy and speed to obtain the fuzzy edge of the road in the high resolution remote sensing image. The simulation environment is built by Matlab 2015a, and it is proved that this paper is superior to the existing method in clustering speed and precision performance.
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