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Geometric active contour model-based coastline detection method for remote sensing image

A geometric active contour, remote sensing image technology, applied in the field of image processing, can solve problems such as the coastline is not true, the coastline has a weak boundary, and the image is easily affected by noise, etc., to achieve complete coastline detection, solve weak boundary problems, and save time.

Inactive Publication Date: 2016-04-13
JIANGSU UNIV OF SCI & TECH
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Problems solved by technology

However, the current remote sensing image coastline detection methods have some defects, such as large amount of calculation, high complexity, images are easily affected by noise, the detected coastline is discontinuous, and the detected coastline is not a real coastline (coastline weak boundary problem). )Wait

Method used

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  • Geometric active contour model-based coastline detection method for remote sensing image
  • Geometric active contour model-based coastline detection method for remote sensing image
  • Geometric active contour model-based coastline detection method for remote sensing image

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Embodiment 1

[0041] Embodiment 1: The image is segmented by the method of wavelet transform, and the present invention selects two-dimensional discrete stationary wavelet transform. In the process of finding the modulus maximum value, the area to which the argument belongs is different, and the neighborhood pixels selected for comparison are different. The four zones to which the argument belongs and their corresponding comparison directions are as follows: figure 2 As shown, the basis for quantizing the argument is as follows:

[0042] when When , it is considered as the horizontal direction and marked as zone 1; when When it is considered to be 45 degrees from the horizontal direction, it is marked as zone 2; when or When , it is considered to be perpendicular to the horizontal direction and marked as zone 3; when When it is considered to be negative 45 degrees from the horizontal, it is marked as Zone 4.

[0043] Select domain pixels according to the area of ​​the argument t...

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Abstract

The invention discloses a geometric active contour model-based coastline detection method for a remote sensing image. The method comprises the following steps: (1) reading the remote sensing image comprising a to-be-detected coastline target by Matlab software, and filtering a target image by a median filter; (2) obtaining an initial contour of the coastline by a wavelet transformation method; (3) processing the coastline segmented in the step (2) by block tracking and local edge selection methods to obtain the initial contour of the coastline; and (4) with the obtained initial contour of the coastline as an improved input of a geometric active contour model, and finally obtaining the accurate and continuous coastline through processing of the geometric active contour model. According to the geometric active contour model-based coastline detection method for the remote sensing image, the influence on coastline detection caused by noise can be effectively suppressed; and accurate, continuous and complete coastline detection is achieved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a remote sensing image coastline detection method based on a geometric active contour model. Background technique [0002] Coastline feature extraction is the basis of coastal resource management. Only when the coastline is accurately extracted can the survey and management of the coastal zone be meaningful. At present, there are two main ways to extract coastlines from remote sensing images: visual interpretation and automatic interpretation. Visual interpretation generally adopts the method of manual tracking and digitalization. It mainly draws the outline of the ocean and land based on the color, texture, shape, direction and other interpretation signs of the coastline features on the remote sensing images and the comparison between the surrounding tidal flats and water bodies. the demarcation line. This method is not only time-consuming, labor-intensive, and labor-intensive...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/20116G06T2207/30184
Inventor 魏雪云康艳秋
Owner JIANGSU UNIV OF SCI & TECH
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