Sea-land clutter scene segmentation method based on energy concentration measure

Abstract

The invention discloses a sea-land clutter scene segmentation method based on energy concentration measure, and mainly aims to solve the problem that the quality of segmentation is poor in the prior art. According to the technical scheme, the method comprises the following steps: (1) emitting a pulse signal through a radar emitter, and receiving echo data through a radar receiver, wherein the echo sequence in each resolution cell of the echo data is X; (2) carrying out over-M sampling Fourier transform on X to get the frequency sequence Y of the echo sequence in each resolution cell; (3) calculating an energy concentration matrix E based on Y; (4) converting E into a gray image H, and carrying out median filtering on the gray image H; (5) using a maximum between-cluster variance threshold segmentation method to initially segment the threshold of an image H1 obtained through median filtering to get an initially-segmented image B; and (6) morphologically filtering the image B to get a final clutter scene segmentation result Z. The quality of sea-land clutter scene segmentation is improved. The sea-land clutter scene segmentation method meets the requirement of real-time scene segmentation, and can be used in sea-land clutter scene segmentation under a moving or stationary coherent system platform.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a sea and land clutter scene segmentation method, which can be used for sea and land clutter scene segmentation under a moving or static coherent system platform. Background technique [0002] Target detection technology under sea clutter background is a crucial research direction in radar application technology, and has been widely used in military and civilian fields. When the radar works in the sea-facing mode, the scanning scene is complex and the range is large, and the radar echoes often contain various types of clutter, including sea clutter, ground clutter, island and reef clutter, offshore clutter, etc. . The strong echo intensity of ground clutter and island reef clutter seriously affects the target detection under the background of sea clutter, and the complex clutter scene and clutter characteristics constitute the main obstacle of sea surface t...

AI Technical Summary

Problems solved by technology

The comprehensive features mentioned in this method only include texture features and grayscale features. When the image is complex, that is, when the gray value of the sea surface is similar to the gray value of the land, it is difficult to distinguish the sea surface area from the texture features and grayscale features. and land areas

In the literature "Shan Zili, Wang Chao, Zhang Hong. Research on Sea and Land Segmentation Method of SAR Image Based on Optimal Active Contour Model [J]. Computer Application Research. 2011,28(6)." A method based on active contour model was proposed The sea and land automatic segmentation method of the company integrates the edge and regional statistical information of the image into the energy function, and then performs image segmentation on this basis. This method performs sea and land segmentation by extracting some features in the image, but when the sea surface is more complicated However, the image features extracted by them cannot distinguish land and sea very well, and it is difficult to obtain better segmentation results.

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