Multi-platform constellation SAR imaging method based on sparse and total variation combined regularization

An imaging method and total variation technology, applied in the direction of radio wave reflection/re-radiation, instruments, measuring devices, etc., can solve the problem that the imaging quality is difficult to meet the follow-up remote sensing application, so as to reduce the imaging side lobe, keep the edge sharp, The effect of suppressing speckle

Active Publication Date: 2019-07-05
GUANGDONG UNIV OF TECH
View PDF11 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a multi-platform constellation SAR imaging method based on sparse and total variation joint regularization to overcome the problem that the imaging quality caused by the special imaging system in the existing multi-platform constellation SAR imaging is difficult to meet the follow-up remote sensing application

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
  • Multi-platform constellation SAR imaging method based on sparse and total variation combined regularization
  • Multi-platform constellation SAR imaging method based on sparse and total variation combined regularization
  • Multi-platform constellation SAR imaging method based on sparse and total variation combined regularization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] like figure 1 As shown, the multi-platform constellation SAR imaging method based on the joint regularization of sparse and total variation includes the following steps:

[0045] S1: According to the sampling rate of the ground scene and echo data, relying on the geometric relationship between the observation platform and the imaging scene, an echo generation model is established;

[0046] S2: According to the echo generation model, the imaging observation matrix is ​​constructed by relying on the mapping relationship between the echo data, the imaging observation matrix and the ground scene;

[0047] S3: According to the imaging observation matrix, a multi-platform constellation SAR imaging model with joint regularization of sparse and total variation is established to obtain the final SAR imaging result.

[0048] More specifically, the step S1 specifically includes the following steps:

[0049] S11: For the observation scene T, the echo data of the m-th platform is ...

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 a multi-platform constellation SAR imaging method based on sparse and total variation combined regularization. The method comprises the steps that according to the sampling rateof a ground scene and echo data, an echo generation model is established by relying on the geometric relationship between an observation platform and an imaging scene; according to the echo generation model, an imaging observation matrix is constructed by relying on the mapping relationship between the echo data, the imaging observation matrix and the ground scene; and according to the imaging observation matrix, a multi-platform constellation SAR imaging model of sparse and total variation combined regularization is established to acquire the final SAR imaging result. The multi-platform constellation SAR imaging method based on sparse and total variation combined regularization effectively improves the imaging quality by reducing imaging side lobes, maintaining sharp edges and suppressing speckles.

Description

technical field [0001] The invention relates to the technical field of radar imaging, and more specifically, to a multi-platform constellation SAR imaging method based on joint regularization of sparse and total variation. Background technique [0002] Improving imaging quality has always been an important requirement for multi-platform constellation SAR imaging. However, due to the influence of imaging sidelobes and coherent speckle noise generated during the imaging process, SAR imaging results often cannot meet the needs of subsequent target recognition and scene detection. Multi-platform constellation SAR imaging is a new high-resolution and wide-bandwidth mapping imaging method. On a single platform, wide-bandwidth mapping can be achieved. However, due to its special imaging system, its imaging quality needs to be improved urgently. The improvement of multi-platform constellation SAR imaging quality will promote the development of subsequent SAR data applications, which...

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 & AuthorityApplications(China)
IPC IPC(8): G01S13/90
CPCG01S13/9094G01S13/9058
Inventor赵曜黄永伟陈如辉
OwnerGUANGDONG UNIV OF TECH