Method for identifying ship type according to high resolution synthetic aperture radar (SAR) image of ship

A high-resolution, image recognition technology, applied in the field of high-resolution SAR image processing, can solve problems such as human error, less mature ship detection technology, and wrong ship attributes

Inactive Publication Date: 2013-06-19
CENT FOR EARTH OBSERVATION & DIGITAL EARTH CHINESE ACADEMY OF SCI
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, VMS and AIS have disadvantages and deficiencies: (1) Some small ships may not be controlled by VMS and AIS; (2) In some cases, VMS and AIS may fail, shut down or unload; (3) Human error and software error Causes incorrect inclusion of ship attributes
At present, in the United States, Canada and the European Union, several complete systems and workflows have been formed for ship monitoring using spaceborne SAR technology. However, as the next step of ship monitoring, ship identification is mainly limited to the resolution of SAR data, and the development is not as good as that of ships. Mature detection technology

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for identifying ship type according to high resolution synthetic aperture radar (SAR) image of ship
  • Method for identifying ship type according to high resolution synthetic aperture radar (SAR) image of ship
  • Method for identifying ship type according to high resolution synthetic aperture radar (SAR) image of ship

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0082] The parameters used in the method for identifying the type of ship based on the high-resolution SAR image of the ship provided in this embodiment are suitable for SAR data with an incident angle greater than 30° in the X-band, and when applied to SAR data in other bands, the classification used in the method The parameters need to be adjusted accordingly.

[0083] Such as figure 1 As shown, the method for identifying the type of ship according to the high-resolution SAR image of the ship provided in this embodiment includes the following steps:

[0084] S1: Process the SAR image slice containing the ship, remove the ocean background, and obtain the hull image;

[0085] S2: Perform backscatter feature statistics and longitudinal autocorrelation feature statistics on the hull image to obtain backscatter features and longitudinal autocorrelation ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for identifying a ship type according to a high resolution synthetic aperture radar (SAR) image of a ship. The method for identifying the ship type according to the high resolution image of the ship comprises the following steps: S1: an SAR image section containing the ship is processed, an ocean background is removed and a ship body image is obtained; S2: back scattering characteristic statistics and longitudinal autocorrelation characteristic statistics are conducted to the ship body image so that a back scattering characteristic and a longitudinal autocorrelation characteristic of the ship are obtained; and S3: the ship type is confirmed according to the back scattering characteristic and the longitudinal autocorrelation characteristic of the ship. According to the method for identifying the ship type according to the high resolution image of the ship, ships are divided into freighters, container ships and oil carriers according to the back scattering characteristic and the longitudinal autocorrelation characteristic of each ship and scientific reference frames are offered for oversea ship monitoring and scientific research.

Description

technical field [0001] The invention relates to the field of high-resolution SAR image processing, in particular to a method for identifying ship types according to high-resolution SAR images of ships. Background technique [0002] The monitoring and identification of marine vessels is an important task for every coastal country, and it has played an important role in the protection of marine resources, monitoring and management of fishing vessels, and combating smuggling and smuggling. [0003] The traditional maritime vessel monitoring means are usually aircraft or speedboats, supplemented by a vessel monitoring system (vessel monitoring system, referred to as VMS system) and a vessel automatic identification system (Automatic Identification System, referred to as AIS system). VMS and AIS systems are composed of shore-based (base station) facilities and ship-borne equipment. It is a system based on GPS transceiver mechanism. Only ships equipped with VMS can transmit ship p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 王超张红吴樊
Owner CENT FOR EARTH OBSERVATION & DIGITAL EARTH CHINESE ACADEMY OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products