Line guidance superpixel coastline extraction method for single-polarization SAR image

An extraction method and super pixel technology, which are applied in image enhancement, image analysis, image data processing and other directions, can solve the problem that the linear objects cannot be fitted, and achieve the effect of solving the inaccurate fitting.

Active Publication Date: 2018-11-06
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 the

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  • Line guidance superpixel coastline extraction method for single-polarization SAR image
  • Line guidance superpixel coastline extraction method for single-polarization SAR image
  • Line guidance superpixel coastline extraction method for single-polarization SAR image

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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 guidance superpixel coastline extraction method for a single-polarization SAR image. According to the method, a size-adaptive double-side window edge detector is embedded, and an improved ILF algorithm is suitable for an SAR image; an ILF line distribution diagram is embedded into the improved SLIC algorithm, and model parameters are guided and controlled by the ILF;and finally, a Gabor filter and a Hidden Markov Model are adopted to classify superpixels, thereby realizing coastline extraction, solving the problem that existing superpixels cannot adhere to a linear object, and improving SAR image coastline extraction precision.

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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IPC IPC(8): G06T7/13G06T7/12G06K9/62
CPCG06T7/12G06T7/13G06T2207/10044G06F18/2415
Inventor 丁星史晓非刘茜格
Owner DALIAN MARITIME UNIVERSITY
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