SAR image transmission method based on compressed sensing and channel self-adaption

A technology of compressed sensing and transmission method, which is applied in the field of SAR image transmission, which can solve the problems of inability to adapt to channel changes and complex encoding, and achieve the effects of reducing transmission quality, simple encoding, and preventing error propagation

Active Publication Date: 2013-09-25
苏州协同创新智能制造装备有限公司
View PDF4 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these transmission systems face problems such as complex coding and inability to adapt to channel changes.

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 transmission method based on compressed sensing and channel self-adaption
  • SAR image transmission method based on compressed sensing and channel self-adaption
  • SAR image transmission method based on compressed sensing and channel self-adaption

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention is described in further detail below in conjunction with accompanying drawing:

[0038] Refer to attached figure 1 , the present invention takes the reconstruction algorithm based on DLWT sparse transformation and Bayesian statistical probability model as an example to illustrate the specific steps of implementation.

[0039] A SAR image transmission method based on compressed sensing and channel adaptation, specifically comprising the following steps:

[0040] Step 1: Divide the input original SAR image (P×Ppixel) into small images (R×Rpixel) of the same size in order from left to right and top to bottom. The rightmost column and the bottom row are filled with 0 if they are less than R.

[0041] Step 2: Perform Direction Lifting Wavelet Transform (DLWT) on each small image:

[0042] f R×R =Ψ R×R x R×R In the formula, F R×R Indicates the original SAR small image; Ψ R×R Represents the wavelet basis matrix; X R×R Indicates the wavelet coeffi...

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 transmission method based on compressed sensing and channel self-adaption. The SAR image transmission method comprises the steps that first, input SAR images are divided into small images with the same size; direction elevating and wavelet transformation are conducted on each small image; zero setting is conducted on coefficients with small amplitude values, only large coefficients in a small proportion are reserved, and then random measurement is conducted on a wavelet coefficient by a random matrix; then quantization is conducted on measurement values. Sampling values after being quantized are packaged before transmission. Random drop and error codes are added in a simulation transmission channel. The inverse operation of the above steps, namely, packaging, inverse quantization, wavelet coefficient reconstruction, wavelet inverse transformation and image combination, are conducted at a receiving end. According to the SAR image transmission method based on the compressed sensing and channel self-adaption, compressed sensing is used as an encoder of the SAR images, only two times of matrix multiplication are needed in the encoding process, and encoding of the SAR images is made to be simple. Due to the fact that an encoding end of the SAR images is placed in flight equipment such as an unmanned plane generally, the encoder is as simple as possible. The compressed sensing is introduced to be used as the compression encoder of the SAR images, and the problem that encoding of the SAR images is complex is solved.

Description

【Technical field】 [0001] The invention relates to the field of image transmission, in particular to a SAR image transmission method. 【Background technique】 [0002] Synthetic Aperture Radar (SAR) technology has a wide range of applications in military and civil affairs, such as earth remote sensing, ocean research, resource survey, disaster forecast and military reconnaissance and other fields. However, the transmission process of SAR images often faces problems such as narrow bandwidth, severe channel changes, and high bit errors. Therefore, it is of great significance to study efficient and robust SAR coding transmission systems. [0003] In the current SAR image transmission system, in order to achieve high-efficiency compression and robust transmission, the scheme of source compression (such as CCSDS algorithm, etc.) combined with channel coding (such as Raptor code, etc.) is usually used. Although these schemes have high rate-distortion performance, they also have a ce...

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
IPC IPC(8): H04N7/26H04N7/30H04N7/64H04N19/89
Inventor 侯兴松董艳宾张兰
Owner 苏州协同创新智能制造装备有限公司
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap