A Fast and Automatic Segmentation Method for SAR Image Coastline Based on C-V Model of Exponential Multi-scale Image Sequence

Abstract

The present invention provides a method for fast and automatic segmentation of SAR image coastline by C-V model, comprising the following steps: performing cubic spline Bessel difference function processing on the original SAR image, and resampling to generate a multi-scale image sequence from low to high resolution , perform horizontal image segmentation processing on the upper-level scale image to obtain the corresponding initial contour line of the C-V model, and then iterate vertically to the next-level scale image as the initial level set of the C-V model, and iterate successively to obtain the final The initial contour line is iterated into the original SAR image as the initial level set for horizontal image segmentation processing, and the SAR image coastline segmentation result is obtained. Under the condition of ensuring the accuracy, the calculation amount of single iteration approaching the coastline is smaller than the original single iteration calculation amount, the total number of iterations is reduced, the time efficiency is improved, and the coastline is quickly and automatically divided.

Description

technical field [0001] The invention belongs to the field of digital image processing of remote sensing images, in particular to a method for fast and automatic segmentation of SAR image coastlines based on a C-V model of an exponential multi-scale image sequence. Background technique [0002] The boundary line defining land and ocean is called coastline. As the boundary line between land surface and ocean surface, coastline can be divided into continental coastline and island coastline. Affected by natural and human factors, the coastline is constantly rising and falling. In fact, it is a "belt" called the coastal zone. my country's coastal zone is the most important economic belt and urban zone in my country. Its security concerns the survival of the country, and it is urgent to increase investment in science and technology. As a part of the geographical and national conditions monitoring project, the national coastal zone development and utilization monitoring plays an im...

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Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that the existing binary multi-scale C-V model cannot automatically identify the coastline and the iteration time is slow, and proposes a fast and automatic segmentation method for the SAR image coastline based on the C-V model of the exponential multi-scale image sequence. According to the fact that electromagnetic waves are absorbed significantly more in water than on land, this method first preprocesses the initial image through horizontal image segmentation processing to determine the initial value of the signed distance function SDF, and in the segmentation energy function F(ψ,C + ,C - ) in the calculation process increases the weight of water and land differences, filtering processing and small-scale sampling processing can effectively bridge small areas similar to "holes" on land, and eliminate most noise spots or complex ground objects. Given the initial segmentation threshold ψ 0 , compared with the original binary multi-scale C-V model algorithm, it effectively solves various interference factors encountered in the coastline segmentation process

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