A line-guided superpixel coastline extraction method from single-polarization SAR images

An extraction method and super-pixel technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as inability to fit linear objects, and achieve the effect of solving inaccurate fit and enhancing contrast

Active Publication Date: 2022-04-15
DALIAN MARITIME UNIVERSITY
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Finally, the Gabor filter and the hidden Markov model are used to classify the superpixels, so as to realize the coastline extraction, and then solve the problem that the existing superpixels cannot fit the linear objects, and improve the accuracy of the SAR image coastline extraction

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  • A line-guided superpixel coastline extraction method from single-polarization SAR images
  • A line-guided superpixel coastline extraction method from single-polarization SAR images
  • A line-guided superpixel coastline extraction method from single-polarization SAR images

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[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:

[0032] The technical idea of ​​the present invention is to embed a size-adaptive bilateral filter into the maturely used FLF algorithm to solve the problem that the Soble and Prewitt edge operators used in edge detection are not applicable to SAR images. Through the line distribution diagram of the ILF algorithm, the model parameters of the improved SLIC algorithm are guided by the ILF line distribution diagram to solve the problem of inaccurate fit of the existing superpixel algorithm to the linear objects. Finally, the hidden Markov model is used to classify the superpixels, and the boundary of superpixels with two different classification labels is the final coa...

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Abstract

The invention discloses a line-guided superpixel coastline extraction method for single-polarization SAR images. The method makes the improved ILF algorithm suitable for SAR images by embedding a size-adaptive bilateral window edge detector. And the ILF line distribution diagram is embedded into the improved SLIC algorithm, so that its model parameters are guided and controlled by ILF. Finally, the Gabor filter and the hidden Markov model are used to classify the superpixels, so as to realize the coastline extraction, and then solve the problem that the existing superpixels cannot fit the linear objects, and improve the accuracy of the SAR image coastline extraction.

Description

technical field [0001] The invention relates to the technical field of SAR image segmentation and coastline detection, in particular to a line-guided superpixel coastline extraction method for single-polarization SAR images. Background technique [0002] In recent years, Synthetic Aperture Radar (SAR) images have been widely used to detect coastlines in research fields such as automatic navigation, coastal erosion monitoring, and coastal feature recognition. Using this technology can monitor changes in coastlines at all times, and the coastline resources Development and utilization have great practical significance. However, due to the complex natural environment of the coastal area and the interference of coherent spots and other factors, the research on coastline detection algorithms still faces severe challenges. [0003] In response to the above problems, a variety of coastline detection methods based on SAR images have been proposed at home and abroad, such as region m...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/13G06T7/12G06V10/764G06V10/84G06K9/62
CPCG06T7/12G06T7/13G06T2207/10044G06F18/2415
Inventor 丁星史晓非刘茜格
Owner DALIAN MARITIME UNIVERSITY
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