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A SAR Image Sparse Regularization Feature Enhancement Method for Interpretation Purpose

A feature enhancement, image feature technology, applied in image enhancement, image analysis, image data processing and other directions

Active Publication Date: 2021-02-12
AIR FORCE UNIV PLA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

From the existing literature, there is no method for regularized feature enhancement for the purpose of interpretation.

Method used

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  • A SAR Image Sparse Regularization Feature Enhancement Method for Interpretation Purpose
  • A SAR Image Sparse Regularization Feature Enhancement Method for Interpretation Purpose
  • A SAR Image Sparse Regularization Feature Enhancement Method for Interpretation Purpose

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Embodiment

[0123] Example: such as image 3 As shown in , the high-resolution complex data SAR image in the US MSTAR database is selected as the original image to be processed. The image resolution is 0.3m×0.3m, the size is 1000×1000 pixels, and the scene contains multiple vehicle targets and other backgrounds. In order to obtain the position information of the vehicle target of interest so as to determine the parameter information of the rectangular detector in the present invention, select Itti.L in "Computational Modeling of Visual Attention" (NatureReviews Neuroscience, 2001,2(3):194-203.) The proposed Itti saliency detection algorithm performs saliency detection on SAR images. Figure 4 is the saliency map of the SAR image calculated by the Itti algorithm, and the highlighted rectangle in the map is used as the potential target area. from Figure 4 It can also be seen that the target detection effect of the traditional Itti algorithm on the original SAR image is average, the high...

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Abstract

The present invention provides a SAR image sparse regularization feature enhancement method for interpretation, including: establishing a SAR image feature enhancement model based on a sparse regularization framework; 1 / 2 The iterative threshold algorithm of norm solves the SAR image feature enhancement model based on the sparse regularization framework, and outputs the SAR image feature enhancement result. The SAR image regularization feature enhancement method takes the SAR image target detection as the final goal, judges the feature enhancement changes of the potential target area and the background area through the designed rectangular window detector, and adaptively optimizes the regularization parameters. The final obtained image enhancement result can effectively improve the target detection rate of the existing SAR target detection algorithm and reduce the false alarm rate.

Description

technical field [0001] The invention relates to a synthetic aperture radar image processing technology, in particular to a SAR image sparse regularization feature enhancement method for the purpose of interpretation. Background technique [0002] Synthetic Aperture Radar (SAR) is a microwave imaging device with extremely high resolution. It uses pulse compression technology and synthetic aperture principle to realize imaging of ground scenes. It plays an important role in environmental monitoring, resource exploration, surveying and mapping, and battlefield reconnaissance. SAR image interpretation technology, that is, the technology of marking, identifying and understanding the regions of interest or targets in SAR images, has achieved rapid development in recent years. With the continuous improvement of SAR image resolution and the rapid development of computer technology, the automatic target detection and recognition of high-resolution SAR images by computer has become a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/136G06T7/194
CPCG06T7/136G06T7/194G06T2207/10044G06T5/70
Inventor 张群倪嘉成魏军罗迎苏令华孙莉李开明王聃梁佳
Owner AIR FORCE UNIV PLA
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