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Ship Detection Method in SAR Image Based on Rational Polynomial Function Fitting to Sea Clutter

A rational polynomial and function fitting technology, applied in the field of remote sensing image processing, to achieve the effect of good fit and good target detection effect

Active Publication Date: 2019-01-29
BEIJING UNIV OF CHEM TECH
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Problems solved by technology

SAR images can be filtered or not; SAR image data values ​​are amplitude values ​​or intensity values

Method used

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  • Ship Detection Method in SAR Image Based on Rational Polynomial Function Fitting to Sea Clutter
  • Ship Detection Method in SAR Image Based on Rational Polynomial Function Fitting to Sea Clutter
  • Ship Detection Method in SAR Image Based on Rational Polynomial Function Fitting to Sea Clutter

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Embodiment Construction

[0033] Below by embodiment the present invention will be further described, but should not limit protection scope of the present invention with this.

[0034] The specific steps are as follows:

[0035] S1 input high-resolution SAR image ( figure 2 ), to obtain the probability distribution function f of SAR image data values 1 (x).

[0036] S2 to the function f described by S1 1 (x) Perform a logarithmic operation with base a to obtain the function f after the logarithmic operation 2 (x). Take a=10 here, namely f 2 (x) = log 10 f 1 (x).

[0037] S3 adopts the rational polynomial function fitting function f with numerator of order 0 and denominator of order 3 2 (x), get the fitting function f 3 (x), here

[0038] 100 points are evenly sampled in , and the following overdetermined equations are formed:

[0039]

[0040] The value of each parameter in the equation can be obtained by solving the above overdetermined equations:

[0041] p 1 =1.452e+07

[0042] ...

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Abstract

A rational polynomial function fitting sea clutter based SAR image ship detection method comprises the following specific steps: inputting a SAR image and obtaining a probability distribution function f1(x) of SAR image data value; carrying out logarithm operation with a as radix on the probability distribution function f1(x) to obtain a probability distribution function f2(x); adopting a rational polynomial fitting function f2(x) with n-order as numerator and m-order as denominator so as to obtain a fitting function f3(Cx); carrying out operation with a as radix and f3(x) as exponent to obtain a sea clutter probability distribution function f4(x) after fitting, and carrying out normalization processing on the f4(x) to obtain a probability distribution function f5(x) after normalization; and judging as a ship target through a threshold value and otherwise judging as sea clutter. The method provided by the invention has better GoF (Goodness of Fitting) and has a better target detection effect by combining the probability-density function of rational polynomial function fitting sea clutter and CFAR method.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to image processing, fitting of sea clutter, and CFAR detection algorithm. It can be applied to fishery supervision, ship monitoring and so on. Background technique [0002] Ship detection based on SAR images is an important link in the ocean monitoring system. The constant false alarm rate detection method using the sea clutter distribution probability density function is the most mature ship detection method so far, and has been applied to many ship detection systems. in [1]. This method calculates the cumulative distribution function (CDF: Cumulative Distribution Function) according to the probability distribution function (PDF: Probability Distribution Function) of the sea clutter, and combines the preset constant false alarm rate (CFAR) to adaptively calculate the detection threshold. Ship objects are detected against the ocean background. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T2207/10032G06T2207/20076
Inventor 郎海涛朱旭
Owner BEIJING UNIV OF CHEM TECH
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