SAR (Synthetic Aperture Radar) image segmentation method based on multi-scale feature fusion

A multi-scale feature and image segmentation technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as poor segmentation effect, missed detection and false detection, and incomplete feature extraction of SAR images, etc., and achieve good segmentation effect Effect
CN102081791BActive Publication Date: 2012-07-04JIANGSU SHENXIANG ELECTROMECHANICAL +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU SHENXIANG ELECTROMECHANICAL
Publication Date
2012-07-04

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Abstract

The invention discloses an SAR (Synthetic Aperture Radar) image segmentation method based on multi-scale feature fusion, comprising the steps of: firstly, extracting the textural features of an image by utilizing fast discrete curvelet transform (FDCT), extracting the statistic features of the image by utilizing stationary wavelet transform (SWT), then, fusing the two type of multi-scale featuresinto high-dimensional feature vectors, and finally, segmenting by adopting a fuzzy C-mean clustering method. At the same time of eliminating broken pieces in a homogenizing area, the boundary is moreprecise and smoother. The method is favorable for effectively preventing the extraction of textural information from the interference of speckle noises. By fusing SWT coefficient statistical features, the textural information and the grey statistical information of the SAR image are effectively utilized and a favorable segmentation effect can be achieved.
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Description

technical field

[0001] The invention relates to a SAR image segmentation method, which is a SAR image segmentation method based on multi-scale feature fusion. Background technique

[0002] Synthetic Aperture Radar (SAR) is an imaging system that works in the microwave band and has the ability to acquire all-weather, all-time, multi-view, and multi-resolution data. Therefore, it has immeasurable application value in the reconnaissance and surveillance of national defense, military affairs, environment, disasters, etc. SAR images are also widely concerned by researchers because of their high spatial resolution and rich detail information. Segmentation of SAR images is an important aspect of SAR applications. But because SAR is a coherent imaging system, SAR images are seriously affected by its inherent coherent speckle noise, which reduces the quality of SAR images and makes segmentation more difficult. Therefore, the research on SAR image segmentation has important theoreti...

Claims

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