Ship Detection Method in Port Area Based on High Resolution SAR Image

Abstract

The invention claims a port region ship and warship detection method based on high resolution SAR image. The technique solution comprises the steps as follows: using the markov parting method and morphology for processing high resolution SAR image in port region to obtain the land region, ocean region and coast contour line; using ship and warship target distribution interval information, setting the buffer region with certain width toward the land direction along the coast contour line, storing the high resolution SAR image information corresponding to the solving region in the solving matrix; base on the MSER method, obtaining the ship and warship target ROI; separating the ship and warship target ROI and the background in the solving matrix to obtain the ship and warship target detection matrix; eliminating the false target in the detection matrix; for the ship and warship target stopping side by side, effectively parting based on the hole character point method. The port region ship and warship detection method based on high resolution SAR image can effectively detect the port region ship and warship target in the high resolution SAR image.

Description

technical field [0001] The invention belongs to the field of radar technology, and relates to a method for extracting ships by using high-resolution SAR (Synthetic Aperture Radar) images in port areas, which can be used for dynamic monitoring of port areas, maritime safety management, and attack effect evaluation. Background technique [0002] The SAR system has all-weather, all-time imaging capabilities and a certain degree of penetration, and has been widely used in military and civilian fields. In recent years, the use of high-resolution SAR images to detect and monitor ship targets in ports has become an important aspect of SAR image marine application research. [0003] In the high-resolution SAR images based on the port area, large targets such as ships no longer appear in the form of point targets, and their basic outlines can already be distinguished. More detailed information or target features of ship targets can be used, but for the same With the improvement of t...

AI Technical Summary

Problems solved by technology

[0003] In the high-resolution SAR images based on the port area, large targets such as ships no longer appear in the form of point targets, and their basic outlines can already be distinguished. More detailed information or target features of ship targets can be used, but for the same With the improvement of the resolution of SAR images, the amount of data to be processed will also increase significantly; in addition, the port area is not only in the clutter edge environment, but also contains multiple ship targets, and the statistical characteristics of the background clutter are complex. The existing statistical model is not enough to describe the heterogeneous mixing and non-uniform characteristics. At the same time, one or more ship targets will appear in the reference window of the detected ship target, destroying the statistical properties of the background clutter

[0004] Therefore, when the traditional detection method based on CFAR (constant false alarm rate, constant false alarm rate) is applied to high-resolution SAR image ship detection in the port area, on the one hand, it cannot meet the real-time requirements of engineering applications; To cope with the complex clutter edge environment in the port area, the detection performance is poor

Therefore, finding and identifying interested ship targets in complex environments such as ports based on high-resolution SAR images has become a challenging topic in the radar field.

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