Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

SAR image target fast detecting method based on significance detecting and clustering

An image and significant technology, applied in the field of radar target detection, can solve the problems of high false alarm rate, long detection time, inaccurate clutter statistical model parameter estimation, etc., to achieve the effect of accelerated detection speed and high false alarm rate

Active Publication Date: 2015-02-18
XIDIAN UNIV
View PDF3 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the statistical distribution model of the background clutter does not necessarily obey the Gaussian distribution, it takes time to estimate the parameters of the background clutter, and each pixel in the SAR image is treated the same, resulting in the inaccurate estimation of the parameters of the clutter statistical model in this method. The shortcomings of accuracy, long detection time, and high false alarm rate

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 image target fast detecting method based on significance detecting and clustering
  • SAR image target fast detecting method based on significance detecting and clustering
  • SAR image target fast detecting method based on significance detecting and clustering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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

[0035] Step 1, build an intensity channel Gaussian pyramid for a SAR image A.

[0036] 1a) Initialization: take a SAR image A as the input image Z for the next step;

[0037] 1b) performing downsampling processing on the input SAR image Z to be downsampled, that is, taking the pixels of the even columns and even rows in the SAR image Z to obtain the downsampled SAR image B;

[0038] 1c) performing a Gaussian low-pass filtering operation on the down-sampled SAR image B to obtain a filtered SAR image L;

[0039] 1d) using the filtered SAR image L as the input SAR image Z to be down-sampled in 1a), and repeating steps 1b)-1c), until the number of rows or columns of the filtered SAR image L is 1;

[0040] 1e) Add the SAR image obtained through steps 1a)-1d) to the original SAR image A to obtain a total of m images, arrange these images in descending order of size, and obtain an m-laye...

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 an SAR image target fast detecting method based on significance detecting and clustering and mainly solves the problem that existing SAR image target detecting is slow in detecting and high in clutter false alarm rate. The method includes: building an intensity channel Gaussian pyramid for an SAR image A; selecting the dimension of the Gaussian pyramid according to a target size; building an intensity significance image for the SAR image under the selected dimension according to the selected dimension; sequentially determining the most significant areas on the intensity significance image, and acquiring a binary image marking all significant areas; performing morphological filter and clustering on the binary image, and then performing area removing according to area range of the target area; using the area-removed clustered binary image to perform suspected target slice extraction to complete SAR image target detection. The method is fast in detection, low in false alarm rate and suitable for SAR image target fast detection.

Description

technical field [0001] The invention belongs to the field of radar target detection, in particular to a method for quickly and effectively detecting ground vehicles and aircraft in synthetic aperture radar SAR images. Background technique [0002] Radar imaging technology was developed in the 1950s, and has been developed by leaps and bounds in the next 60 years. At present, it has been widely used in military, agriculture, forestry, geology, ocean, disaster, mapping and many other fields. [0003] Synthetic aperture radar (SAR) is an active sensor that uses microwaves for perception. Compared with other sensors such as infrared and optical, SAR imaging is not limited by conditions such as light and weather. observation. Therefore, SAR has become an important means of earth observation and military reconnaissance, and the automatic target recognition of SAR images has attracted more and more attention. [0004] The ATR method of SAR automatic target recognition usually ado...

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): G06K9/54G06K9/62
CPCG06V20/13G06V2201/07
Inventor 杜兰王兆成王斐刘宏伟
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com