Fast high-resolution SAR (synthetic aperture radar) image ship detection method based on feature fusion and clustering

Abstract

The invention discloses a fast high-resolution SAR (synthetic aperture radar) image ship detection method based on feature fusion and clustering. The fast high-resolution SAR image ship detection method comprises the following steps: on the basis of the back scattering characteristics of each ground object and the prior information of a ship target in an SAR image, positioning a target potential position index map by an Otsu algorithm and range constraint; on the index map, pre-screening to obtain a detection binary segmentation map by a CFAR (constant false alarm rate) algorithm based on a local contrast; carrying out morphological processing to a detection result, and extracting a potential target slice from the SAR image and a detected binary segmentation map according to a processing result; and carrying out K-means clustering to the extracted slice by a designed identification feature to obtain a final identification result. According to the fast high-resolution SAR image ship detection method based on feature fusion and clustering, the data volume of a detection stage is effectively reduced by pre-processing, and point-to-point detection is not needed / the time of point-to-point detection is saved. Meanwhile, a target identification problem under the condition of insufficient training samples at present can be solved by the designed characteristic and a non-supervision clustering method, the target can be effectively positioned, and the size of the target can be estimated.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a fast ship target detection method in SAR images based on feature fusion and clustering, which is used for understanding and interpretation of synthetic aperture radar images. Background technique [0002] Synthetic Aperture Radar (SAR) is an active sensor that uses microwaves for imaging. Its imaging is not limited by weather, light and other conditions, and it can observe objects of interest all day and all weather. The emergence of SAR systems with multi-band, full polarization, and different working modes has made it possible to observe the earth in all directions. At present, the interpretation ability of SAR images cannot meet the needs of processing a large number of collected images, which directly leads to the development of SAR image interpretation technology. The use of SAR images for ship target detection is an important means to achieve ocean surveillance an...

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Problems solved by technology

In practice, the acquisition of training data is time-consuming and labor-intensive, and the training data itself is acquired under different sensors, imaging environments and target types, so it is difficult to represent the data to be tested

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