Polarization SAR image ship target detection method

A target detection and image technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of distinguishing clutter and target resolution units, high false alarm, low robustness, etc.

Active Publication Date: 2014-10-08
XIDIAN UNIV
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Problems solved by technology

These two methods are based on a single scattering mechanism detection method, due to the difference in sea conditions and the existence of coherent spots, this type of method cannot always distinguish the clutter and the target resolution unit very well, the robustness is low, and there will be more high false alarm

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  • Polarization SAR image ship target detection method
  • Polarization SAR image ship target detection method
  • Polarization SAR image ship target detection method

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Embodiment Construction

[0044] refer to figure 1 , the recognition method of the present invention includes two stages of training and testing, and the specific steps are as follows:

[0045] 1. Training stage

[0046] Step 1, from figure 2 Select M=800 clutter pixels in the rectangular frame labeled 1, 2, 3 as the clutter training sample set, and for the pixels i=1,...,M in the set, use the 3×3 neighbors of pixel i Computation of clutter polarization covariance matrix C by domain pixel set i :

[0047] C i = k si * k si H > = 1 9 Σ si k si * k si H

[0048] Where si represents the 3×3 neighborhood pixel set of pixel i, k si is the polarization scatt...

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Abstract

The invention discloses a polarization SAR image target detection method. The method mainly solves the problems that an existing detection method depends on energy, and the false alarm rate is high. The method comprises the implementation steps that two types of training samples including targets and clutter are selected, and feature extraction and energy normalization are carried out; a polarization dictionary learning target function is defined, and supervised learning is carried out on a polarization dictionary which can differentiate the clutter and the targets; polarization feature extraction and energy normalization are carried out on a tested image; sparse coding is carried out on a tested feature vector through the polarization dictionary; the reconstruction error proportion of the feature vector under a clutter sub-dictionary serves as test statistics; the test statistics is compared with a threshold, pixels larger than that threshold are determined as the targets, other pixels are determined as the clutter, and target detection is completed. According to the polarization SAR image ship target detection method, target detection is carried out only through polarization information, and the method has the advantages that robustness is good, the false alarm rate is low, and weak targets can be detected, and the method is applicable to polarization SAR image target detection when the contrast ratio of the targets to the clutter is low.

Description

technical field [0001] The invention belongs to the technical field of radar target detection, and in particular relates to a polarized SAR image ship target detection method for weak and small targets. Target Detection. Background technique [0002] Ship detection is of great significance to ocean monitoring. Due to the all-weather and all-weather working characteristics of synthetic aperture radar (SAR), SAR images have unique advantages for ocean monitoring compared with optical images. A set of fully polarized SAR images I usually contains four polarization channels, that is, horizontal-horizontal polarization I HH , horizontal-vertical pole I HV , vertical-horizontal polarization I VH , vertical-vertical polarization I VV Four images of the same size are the measurement values ​​of four polarization modes in the same area. When the polarization reciprocity theorem is satisfied, there is horizontal-vertical polarization I HV with vertical-horizontal polarization I ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/66
Inventor 刘宏伟文伟王英华陈渤
Owner XIDIAN UNIV
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