关键词: 遥感数据, 水平集分割算法, 海岛边界

Abstract: Island is an important carrier of ocean exploitation and utilization. Research on the rapid segmentation of island boundary has important scientific value and strategic significance. Remote sensing technology supplies important data source for island research due to its characteristics of far distance earth observation. In this paper, considering the characteristics of remote sensing data, such as multi-bands, strong real-time, and large area coverage, an improved model is proposed for island boundary rapid segmentation. The proposed model has two aspects: the coarse segmentation of island boundary is done based on K-means algorithm; and then taking the result of coarse segmentation as input data, the re-segmentation of island boundary is optimized based on the improved level set segmentation algorithm. Finally, taking the boundary segmentation of two islands as an example, which are located on Fuzhou, the improved segmentation model is compared with Chan-Vese model, geodesic active contour model and selective binary and Gaussian filtering regularized level set model. The result shows that, the consuming time and the iterations of the proposed model are reduced at least 50% than other models; the accuracy of the results based on the proposed model is closer to the value segmented by visual interpretation. In short, the proposed model overcomes the low efficiency and over-segmentation of the traditional segmentation methods, and presents a rapid method for island census.

Key words: remote sensing data, level set segmentation algorithm, island boundary