A sparse regularization feature enhancement method for SAR image interpretation

A feature enhancement and image feature technology, applied in image enhancement, image analysis, image data processing, etc.

Active Publication Date: 2019-03-12
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 sparse regularization feature enhancement method for SAR image interpretation
  • A sparse regularization feature enhancement method for SAR image interpretation
  • A sparse regularization feature enhancement method for SAR image interpretation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] Embodiment 1: SAR image sparse regularization feature enhancement method for the purpose of interpreting, comprising the following steps:

[0072] Establish a SAR image feature enhancement model based on a sparse regularization framework;

[0073] Based on L 1 / 2 The norm ITA algorithm solves the SAR image feature enhancement model in the first step;

[0074] Output SAR image feature enhancement results.

Embodiment 2

[0075] Embodiment 2: Describe in detail below, establish the SAR image feature enhancement model based on the sparse regularization framework:

[0076] The SAR image feature enhancement model based on the sparse regularization framework can be expressed as:

[0077] Y=X+N (1)

[0078] Among them, Y is the traditional SAR imaging result based on matched filtering, X is the feature enhancement result obtained by sparse regularization reconstruction, and N is a matrix with the same dimension as X, indicating that the enhancement result is different from the original image, which contains system noise , sidelobe to be removed, background clutter, etc. Using sparse regularization theory, X can be solved by formula (2):

[0079]

[0080] in Indicates the F-norm of the matrix, Indicates the q (0

Embodiment 3

[0082]Embodiment 3: Describe in detail below, adopt based on L 1 / 2 The norm ITA algorithm solves the above SAR image feature enhancement model based on the sparse regularization framework:

[0083] The iterative threshold algorithm is used to solve the SAR image feature enhancement model established above. Specifically, formula (2) can be solved by an iterative threshold algorithm formula (3):

[0084]

[0085] where n is the number of iterations and μ is the convergence parameter. Is the threshold operation in the ITA algorithm, consisting of a vector as follows:

[0086]

[0087] where N is the azimuth dimension of the matrix. In this vector The form of is determined by the norm q, when q=1 / 2, the article "L1 / 2Regularization: A Thresholding Representation Theory and a FastSolver" (IEEE Trans.Neural Networks Learning Sys,2012,23(7),1013–1028) Formula (5) is derived from:

[0088]

[0089] in:

[0090]

[0091] get X every time (n+1) After calculating the...

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Abstract

The invention provides a SAR image sparse regularization feature enhancement method aiming at interpretation, which comprises the following steps: a SAR image feature enhancement model based on a sparse regularization framework is established; The SAR image feature enhancement model based on sparse regularization framework is solved by using the iterative threshold algorithm based on L1 / 2 norm, and the SAR image feature enhancement results are outputted. The regularization feature enhancement method of SAR image takes target detection of SAR image as the final goal, judges the feature enhancement changes of potential target region and background region through the designed rectangular window detector, and optimizes the regularization parameters adaptively. The final image enhancement results 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 Applications(China)
IPC IPC(8): G06T5/00G06T7/136G06T7/194
CPCG06T5/002G06T2207/10044G06T7/136G06T7/194
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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