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SAR (Synthetic Aperture Radar) image sea-land segmentation method based on wavelet transform and OTSU threshold

A technology of wavelet transform and sea-land segmentation, applied in image analysis, image data processing, 2D image generation, etc., can solve the problems of poor universality and cumbersome implementation process, and achieve the effect of improving applicability

Active Publication Date: 2014-12-10
BEIHANG UNIV
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Problems solved by technology

[0019] The technical problem to be solved by the present invention is: the present invention proposes a method based on wavelet transform and OTSU threshold (referring to literature [8] N.Otsu, "A tlreshold selection method from gray-level histograms," IEEE Trans.on Sys., Man , and Cybe.,Vol.9,No.1,Jan.1979,pp.62-66.) sea and land segmentation method, which comprehensively utilizes speckle noise suppression of wavelet transform, multi-scale analysis function and adaptive threshold algorithm of OTSU , unsupervised, and strong robustness, thus overcoming the shortcomings of the existing sea-land segmentation algorithm in terms of multi-parameterization, poor universality, cumbersome implementation process, and limited applicability to high-resolution SAR images

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  • SAR (Synthetic Aperture Radar) image sea-land segmentation method based on wavelet transform and OTSU threshold
  • SAR (Synthetic Aperture Radar) image sea-land segmentation method based on wavelet transform and OTSU threshold
  • SAR (Synthetic Aperture Radar) image sea-land segmentation method based on wavelet transform and OTSU threshold

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[0046] The present invention will be further described below in conjunction with the accompanying drawings and specific examples.

[0047] The basic process of the sea and land segmentation method based on wavelet transform and OTSU threshold proposed by the present invention is as follows: Figure 4 As shown, the specific implementation steps are as follows:

[0048] Step 1: If Figure 4 As shown in box 1, the "multiplicative" speckle noise is transformed into "additive" by logarithmic operations.

[0049] f(x,r)=log(I(x,r))=log(σ(x,r) n(x,r))=log(σ(x,r))+log(n(x, r)) (1)

[0050] In the formula, I(·) represents the amplitude or intensity SAR image data, x and r represent the azimuth and distance sampling respectively; σ(·) is the texture component, which represents the change of scattering characteristics in the observation area, which is clearly visible on a large scale; n is a speckle noise component, which corresponds to information on a small scale.

[0051] Step 2:...

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Abstract

The invention relates to an SAR (Synthetic Aperture Radar) image sea-land segmentation method based on a wavelet transform and OTSU threshold. According to the method, speckle noise in an SAR image is suppressed by using the noise smoothing property of wavelet transform; then land areas are roughly segmented by using an unsupervised optimal OTSU threshold method, and the detection results under each scale are merged based on the multiscale analysis property of wavelet transform; and finally the final coastline detection results are obtained through automatic subsequent treatment and edge tracking. Compared with the prior sea-land segmentation methods, the SAR (Synthetic Aperture Radar) image sea-land segmentation method comprehensively utilizes the speckle noise suppressing and multiscale analysis function of wavelet transform and the self-adaptive, unsupervised and high-robustness properties of the OTSU threshold algorithm, and has great improvement in automation degree, universality, simplicity and applicability of high-resolution SAR images.

Description

technical field [0001] The invention relates to the technical field of sea and land segmentation of a SAR image marine target monitoring system, in particular to a SAR image sea and land segmentation method based on wavelet transform and OTSU threshold. Background technique [0002] Sea and land segmentation is one of the key technologies of SAR image marine target surveillance system. Such as figure 1 (a) (see literature [1] G.Margarit, J.Barba-Milanes, and A.Tabasco, "Operational ship monitoring system based on synthetic aperture radar processing," Remote Sens., Vol.1, No.3 , Aug.2009, pp.375-392.), by shielding the land area in this way, the target search range can be locked in the ocean area, greatly reducing the false alarms caused by the ship detection algorithm applied to the land area, and reducing the overall calculation of the system burden. [0003] Traditionally, the information in the topographic map file is usually used to mark the coastline and shield the l...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T11/00
Inventor 顾丹丹许小剑张秀玲
Owner BEIHANG UNIV
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