SAR (synthetic aperture radar) image naval ship target identification method based on change detection technology

A technology for change detection and target identification, applied in image analysis, image data processing, instruments, etc., can solve the problems of insufficient robustness, poor identification performance of ship targets and sea background clutter, etc.

Inactive Publication Date: 2014-12-24
NAT UNIV OF DEFENSE TECH
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a SAR image ship target identification method based on change detection technology, which can effectively improve the SAR Distinguishing Ability of Ship Target and False Alarm of Sea Surface Clutter in Image and Adaptability of Discrimination Method

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
  • SAR (synthetic aperture radar) image naval ship target identification method based on change detection technology
  • SAR (synthetic aperture radar) image naval ship target identification method based on change detection technology
  • SAR (synthetic aperture radar) image naval ship target identification method based on change detection technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0034] figure 1 It is a flowchart of a ship target identification method in a SAR image, including three steps of constructing a change detection quantity, adaptive threshold segmentation, and target pixel aggregation degree analysis.

[0035] Figure 2 to Figure 5 It is the result of using the present invention to carry out the simulation experiment.

[0036] figure 2 is a schematic diagram of generating a standard grayscale difference image. (a) is a schematic diagram of the background clutter average calculation in the SAR image ROI slice, the square area enclosed by the white solid line at the four corners of the slice is the selected calculated gray value μ 1 , μ 2 , μ 3 , μ 4 The area of ​​, (b) is the standard gray difference image obtained after the change detection quantity is linearly transformed.

[0037] image 3 is the result of ...

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 provides an SAR (synthetic aperture radar) image naval ship target identification method based on a change detection technology. According to the technical scheme, the SAR image naval ship target identification method based on the change detection technology comprises the following steps of firstly, establishing change detection amount by using ROI (region of interest) section gray scale data and generating a standard gray scale difference image; secondly, performing threshold segmentation on the difference image and acquiring the number of potential target pixels and the number of real target pixels; and finally, identifying an ROI section by using pixel aggregation degree of targets according to the ratio of the number of the real target pixels to the number of the potential target pixels. By the SAR image naval ship target identification method based on the change detection technology, the separation capacity on naval ship targets in an SAR image and sea clutter false alarm can be effectively improved, and the adaptive capacity on the identification method can also be improved effectively.

Description

technical field [0001] The invention relates to a SAR (Synthetic Aperture Radar, synthetic aperture radar) image ship target identification method, in particular to a SAR image target identification method based on change detection technology. Background technique [0002] In SAR images, the difference in the false alarm scattering characteristics of the target and the background clutter makes the two present different characteristics. Therefore, the target identification method based on feature extraction is the most effective among all current identification methods, and its application is also the most extensive. The working principle of ship target identification in SAR images is to extract features from the ROI (Region of Interest, Region of Interest) slices of suspected targets in SAR images, select appropriate identification features, and identify the slices according to the set judgment conditions. , those that meet the conditions are ship targets, and those that do...

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): G06T7/00
Inventor 匡纲要熊博莅赵凌君陆军张小强吴健
Owner NAT UNIV OF DEFENSE TECH
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