Sea surface small target detection method based on multi-domain multi-dimensional feature fusion

A small target detection and multi-dimensional feature technology, applied in the field of small target detection on the sea surface, can solve the problems of multi-domain feature extraction and reduce the calculation cost of high-dimensional judgment areas, and achieve the effect of improving detection performance and realizing performance

Active Publication Date: 2020-08-25
NANJING UNIV OF INFORMATION SCI & TECH
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Therefore, the difficulty of the feature class detection method lies in multi-domain...

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  • Sea surface small target detection method based on multi-domain multi-dimensional feature fusion
  • Sea surface small target detection method based on multi-domain multi-dimensional feature fusion
  • Sea surface small target detection method based on multi-domain multi-dimensional feature fusion

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Embodiment Construction

[0021] The technical solutions of the present invention will be further described below in conjunction with the embodiments.

[0022] refer to figure 1 , the implementation steps of the present invention are as follows:

[0023] Step 1, get the echo matrix Z

[0024] 1.1) Assume that the marine radar system has four fully polarized channels HH, HV, VH, and VV, and can receive the echo vectors of the four polarized channels at the same time, which are respectively denoted as z HH ,z HV ,z VH ,z VV , the length of the vector is N, and N represents the number of pulses. The receiving echo matrix Z=[z of the four polarized channels HH ,z HV ,z VH ,z VV ], which is the unit to be tested (CUT). The echo matrix of K reference units around the CUT is Z k =[z HH,k ,z HV,k ,z VH,k ,z VV,k ], k=1,2,...,K.

[0025] 1.2) The nature of the detection determines whether the echo matrix contains the target echo. In echo matrix Z=[z HH ,z HV ,z VH ,z VV ], the radar target ...

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Abstract

The invention discloses a sea surface small target detection method based on multi-domain multi-dimensional feature fusion. The method comprises the following steps: carrying out the combined processing of echo data under four polarizations: HH, HV, VH and VV, and extracting the multi-dimensional feature information of a time domain, a frequency domain, a time-frequency domain and a polarization domain; through linear fusion of a polarization domain and a feature domain, multi-dimensional features are compressed into a 3D feature space, and the calculation cost is reduced while the high-dimensional information amount is ensured; and in the 3D feature space, a quick convex hull algorithm is adopted to obtain a false alarm controllable judgment area, and target detection is realized. The detection method provided by the invention has steady performance in different marine environments, improves the detection performance of the radar on the sea surface small target, and provides a new thought for the detection of the sea surface small target.

Description

technical field [0001] The invention relates to a method for detecting small targets on the sea surface, in particular to a method for detecting small targets on the sea surface based on multi-domain and multi-dimensional feature fusion. Background technique [0002] With the development of stealth technology and the miniaturization trend of detection targets, small targets on the sea surface are the key and difficult objects for early warning, detection and tracking of sea radar. Compared with targets such as warships and ships, small-sized sea targets such as boats, periscopes, and floating objects have weak echoes, making the Signal-to-Clutter Ratio (SCR) in a critical and detectable state. In the Doppler frequency domain, the Doppler shift of the low-speed moving small target falls in the main clutter band of the sea clutter, which increases the difficulty of small target detection in the high-resolution sea clutter background. Traditional detection methods are caught i...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41Y02A90/10
Inventor 施赛楠董泽远杨静姜丽
Owner NANJING UNIV OF INFORMATION SCI & TECH
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