Energy aggregation degree measure-based sea and land clutter scene segmentation method

Abstract

The invention discloses an energy aggregation degree measure-based sea and land clutter scene segmentation method. The main objective of the invention is to solve the problem of poor segmentation quality in the prior art. According to the technical schemes of the invention, the method includes the following steps that: 1, a radar transmitter is utilized to transmit pulse signals, a radar receiver receives echo data, and an echo sequence in each resolution unit of the echo data is X; 2, over-M sampling Fourier transform is performed on X, so that the frequency sequence Y of the echo sequence in each resolution can be obtained; 3, Y is utilized to calculate an energy aggregation degree matrix E; 4, E is converted into a gray image H, and median filtering is performed on the gray image H; 5, threshold initial segmentation is performed on an image H1 which is obtained after the median filtering through utilizing an Otsu threshold segmentation method, so that an initially-segmented image B can be obtained; and 6, morphological filtering is performed on the image B, so that a final clutter segmentation result Z can be obtained. With the energy aggregation degree measure-based sea and land clutter scene segmentation method of the invention adopted, the quality of sea and land clutter scene segmentation can be improved, and real-time scene segmentation requirements can be satisfied. The method can be applied to sea and land clutter scene segmentation under a moving or static 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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