Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Research on Water Edge Extraction in Islands from GF-2 Remote Sensing Image Based on GA Method

  • Bian, Yan (School of Civil Engineering, University of Science and Technology Liaoning) ;
  • Gong, Yusheng (School of Civil Engineering, University of Science and Technology Liaoning) ;
  • Ma, Guopeng (School of Civil Engineering, University of Science and Technology Liaoning) ;
  • Duan, Ting (School of Civil Engineering, University of Science and Technology Liaoning)
  • Received : 2020.12.17
  • Accepted : 2021.04.26
  • Published : 2021.10.31
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Abstract

Aiming at the problem of low accuracy in the water boundary automatic extraction of islands from GF-2 remote sensing image with high resolution in three bands, new water edges automatic extraction method in island based on GF-2 remote sensing images, genetic algorithm (GA) method, is proposed in this paper. Firstly, the GA-OTSU threshold segmentation algorithm based on the combination of GA and the maximal inter-class variance method (OTSU) was used to segment the island in GF-2 remote sensing image after pre-processing. Then, the morphological closed operation was used to fill in the holes in the segmented binary image, and the boundary was extracted by the Sobel edge detection operator to obtain the water edge. The experimental results showed that the proposed method was better than the contrast methods in both the segmentation performance and the accuracy of water boundary extraction in island from GF-2 remote sensing images.

Keywords

Acknowledgement

This paper is supported by the National Science Foundation for Young Scholars Project of China (No. 41801294) and the Innovation Training Program of the University of Science and Technology Liaoning.

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