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SAR image ship detection method based on Gaussian function fitting of sea clutter

A Gaussian function and ship detection technology, applied in the field of remote sensing image processing, can solve problems such as not being suitable

Inactive Publication Date: 2015-10-21
BEIJING UNIV OF CHEM TECH
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Problems solved by technology

Affected by internal and external factors such as SAR incidence angles and polarization modes, as well as weather, wind speed, and sea state changes, the statistical distribution of sea clutter in SAR images is quite different, and the above sea clutter fitting methods cannot be compared. Good for a variety of situations [11, 12]

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  • SAR image ship detection method based on Gaussian function fitting of sea clutter
  • SAR image ship detection method based on Gaussian function fitting of sea clutter
  • SAR image ship detection method based on Gaussian function fitting of sea clutter

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Embodiment Construction

[0034] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0035] Step 1: Input image ( figure 2 ), perform normalization processing, and normalize the image pixel values ​​to [0,1].

[0036] Step 2: Obtain the probability density function f of the distribution of SAR image data values 1 (x).

[0037] Step 3: For f 1 (x) performs a logarithmic operation with base 10 to obtain f 2 (x), f 2 (x) = log 10 f 1 (x).

[0038] Step 4: In f 2 100 data points are uniformly sampled in (x). The coordinates of the sampling data points are (x 1 , f 2 (x 1 )), (x 2 , f 2 (x 2 )), ..., (x 100 , f 2 (x 100 )). . In this embodiment, a 5th-order Gaussian function is adopted, and according to the polynomial function y m = Σ i = 1 5 a i ...

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Abstract

An SAR image ship detection method based on Gaussian function fitting of sea clutter belongs to the technical field of remote sensing image processing, specifically is a constant false alarm rate (CFAR) image ship detection method based on Gaussian function fitting of sea clutter and mainly solves the problems of low sea clutter fitting goodness and poor overall detection performance when the existing detecting technique is applied to high-definition pictures. The detection process is characterized by carrying out sea clutter distribution fitting by using an n-order Gaussian function; calculating threshold value according to the fitting function; and detecting the ship with the constant false alarm rate (CFAR) method being combined, and obtaining the final detection result. The method has better fitting goodness and higher detection performance, and can be applied to the field of fishery supervision and marine safety and the like.

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] my country is a large oceanic country, which governs more than 3 million square kilometers of sea area and is rich in marine resources. Strengthening the monitoring of ships entering the sea area under our jurisdiction is an important means of safeguarding my country's maritime rights and interests. Synthetic aperture radar (SAR) has become one of the main means of ocean monitoring because of its all-day, all-weather, and large-scale observation capabilities [1]. The constant false alarm rate detection method based on the sea clutter distribution probability density function is the most mature ship detection method developed so far, and has been applied in many practical ship...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/13G06V20/20
Inventor 郎海涛蔡奇澔
Owner BEIJING UNIV OF CHEM TECH
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