Algorithm for Automatic Island Segmentation and Identification Based on Narrow Band Deformable Model in UAV Optical Remote Sensing Image

Abstract:

The island survey is important in economic and strategic field, and in recent years the use of remote sensing technology becomes the mainstream in island investigation. As an effective way for improving the efficiency and accuracy of island survey, the automatic segmentation and recognition algorithm has greater significance. For the difficulty in application of deformed model to high-resolution remote sensing images, the segmentation framework of global initial segmentation and local extractive segmentation based on narrow band deformable model is proposed. Based on the sea and land extraction the island initial segmentation is accomplished, and then the narrow band deformable model is used to increase the accuracy of segmentation. Finally the double rings feature of island is used to improve the quality of the segmentation.

• Periodical: Applied Mechanics and Materials (Volumes 719-720)
• Pages: 1209-1216
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.719-720.1209
• Online since: January 2015
• Authors: En Wei Zhao*, He Meng Yang, Xiao Jie Wu, Zeng Zhang
• Keywords: High Resolution Remote Sensing, Island Segmentation, Multi-Scale, Narrow Band Deformable Model

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