Sea-land clutter scene segmentation method based on DC component ratio measurement

Abstract

The invention discloses a sea and land clutter scene segmentation method based on direct current component ratio measure, which is mainly used for solving the problem that the segmentation quality in the prior art is poor. The technical scheme is as follows: 1. transmitting a pulse signal by a radar transmitter, and receiving echo data by a radar receiver, wherein an echo sequence in each resolution cell of the echo data is X; 2. calculating a direct current component ratio in each resolution cell by the X to obtain a direct current component ratio matrix W of all resolution cells; 3. converting W into a gray level image H, and carrying out median filter on the gray level image; 4. carrying out initial threshold segmentation on the gray level image H after the median filter by using a maximum between-cluster variance threshold segmentation method to obtain an initially segmented image B; and 5. carrying out morphological filter on the initially segmented image B to obtain a final clutter scene segmentation result Z. The sea and land clutter scene segmentation method disclosed by the invention is used for improving the sea and land clutter scene segmentation quality and meeting the real-time scene segmentation requirements, and can be applied to sea and land clutter scene segmentation under shore-based radar conditions.

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 shore-based radar conditions. 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 target detection...

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.

Images