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Water extraction from SAR images based on improved geodesic active contour.

Jikang Wan1, Bin Yong2, Xiaofeng Zhou3

  • 1School of Computer and Information, Hohai University, Nanjing, 211100, China. 190207040009@hhu.edu.cn.

Environmental Monitoring and Assessment
|August 20, 2022
PubMed
Summary

This study introduces an improved geodesic active contour model (IMGAC) for accurate water boundary extraction from single-polarization SAR images. The IMGAC model enhances efficiency and precision in detecting water bodies, crucial for environmental monitoring.

Keywords:
Boundary optimizationGAC modelGF-3Improved GAC modelSAR imageWater extraction

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Area of Science:

  • Remote Sensing
  • Geographic Information Systems (GIS)
  • Image Processing

Background:

  • Accurate water body information is vital for water resource management, flood monitoring, and ecological protection.
  • Traditional methods for water boundary extraction often face challenges in accuracy and efficiency.

Purpose of the Study:

  • To develop and validate an improved geodesic active contour model (IMGAC) for precise water boundary extraction from single-polarization SAR images.
  • To enhance the accuracy and computational efficiency of water body detection compared to existing models.

Main Methods:

  • Utilized an improved geodesic active contour model (IMGAC) incorporating an adaptive threshold for initial water body segmentation.
  • Introduced a narrowband model and the signed pressure force (SPF) function into the geodesic active contour (GAC) model for iterative boundary refinement.
  • Employed the F-measure and kappa coefficient to quantitatively evaluate extraction accuracy.

Main Results:

  • The IMGAC model demonstrated superior performance in water boundary detection accuracy.
  • Achieved a highest extraction accuracy of 96.43% using the F-measure index.
  • Obtained a kappa coefficient of 0.929 and an F-measure index of 96.20% for the IMGAC method.

Conclusions:

  • The proposed IMGAC model significantly improves the accuracy and efficiency of water boundary extraction from SAR images.
  • This method offers a valuable reference for optimizing water extraction and boundary delineation in environmental and resource management applications.