Signal-dependent noise filtering of SAR image

Qing Wei Ping; Li Ma

doi:10.1117/12.902749

Signal-dependent noise filtering of SAR image

Qing Wei Ping^*, Li Ma

^*Corresponding author for this work

School of Medical and Technology

Beijing Institute of Petrochemical Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The multiplicative noise model is often used to describe the speckle noise in the SAR image. This speckling process defines the conditional probability of the SAR image intensity I from RCS s. The MMSE algorithm of the SAR image reconstruction is basis on the multiplicative noise model. However, the MMSE algorithm does not define how calculating the look number of the SAR image. This paper advises an algorithm calculating the look number of the SAR image. This algorithm is basis on the local statistical information. Therefore, the MMSE algorithm can adapt all kinds of the SAR images. Furthermore, when the iteration MMSE is used, the MMSE algorithm can adapt the change of SAR image statistical information.

Original language	English
Title of host publication	MIPPR 2011
Subtitle of host publication	Multispectral Image Acquisition, Processing, and Analysis
DOIs	https://doi.org/10.1117/12.902749
Publication status	Published - 2011
Event	MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis - Guilin, China Duration: 4 Nov 2011 → 6 Nov 2011

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8002
ISSN (Print)	0277-786X

Conference

Conference	MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Country/Territory	China
City	Guilin
Period	4/11/11 → 6/11/11

Keywords

Minimum Mean-Square Error
RCS reconstruction filter
SAR
Speckle noise

Access to Document

10.1117/12.902749

Cite this

Ping, Q. W., & Ma, L. (2011). Signal-dependent noise filtering of SAR image. In MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis Article 80021P (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8002). https://doi.org/10.1117/12.902749

@inproceedings{95a5a61d676f4b3e91c6ee99fe7aaab6,

title = "Signal-dependent noise filtering of SAR image",

abstract = "The multiplicative noise model is often used to describe the speckle noise in the SAR image. This speckling process defines the conditional probability of the SAR image intensity I from RCS s. The MMSE algorithm of the SAR image reconstruction is basis on the multiplicative noise model. However, the MMSE algorithm does not define how calculating the look number of the SAR image. This paper advises an algorithm calculating the look number of the SAR image. This algorithm is basis on the local statistical information. Therefore, the MMSE algorithm can adapt all kinds of the SAR images. Furthermore, when the iteration MMSE is used, the MMSE algorithm can adapt the change of SAR image statistical information.",

keywords = "Minimum Mean-Square Error, RCS reconstruction filter, SAR, Speckle noise",

author = "Ping, {Qing Wei} and Li Ma",

year = "2011",

doi = "10.1117/12.902749",

language = "English",

isbn = "9780819485762",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "MIPPR 2011",

note = "MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis ; Conference date: 04-11-2011 Through 06-11-2011",

}

TY - GEN

T1 - Signal-dependent noise filtering of SAR image

AU - Ping, Qing Wei

AU - Ma, Li

PY - 2011

Y1 - 2011

N2 - The multiplicative noise model is often used to describe the speckle noise in the SAR image. This speckling process defines the conditional probability of the SAR image intensity I from RCS s. The MMSE algorithm of the SAR image reconstruction is basis on the multiplicative noise model. However, the MMSE algorithm does not define how calculating the look number of the SAR image. This paper advises an algorithm calculating the look number of the SAR image. This algorithm is basis on the local statistical information. Therefore, the MMSE algorithm can adapt all kinds of the SAR images. Furthermore, when the iteration MMSE is used, the MMSE algorithm can adapt the change of SAR image statistical information.

AB - The multiplicative noise model is often used to describe the speckle noise in the SAR image. This speckling process defines the conditional probability of the SAR image intensity I from RCS s. The MMSE algorithm of the SAR image reconstruction is basis on the multiplicative noise model. However, the MMSE algorithm does not define how calculating the look number of the SAR image. This paper advises an algorithm calculating the look number of the SAR image. This algorithm is basis on the local statistical information. Therefore, the MMSE algorithm can adapt all kinds of the SAR images. Furthermore, when the iteration MMSE is used, the MMSE algorithm can adapt the change of SAR image statistical information.

KW - Minimum Mean-Square Error

KW - RCS reconstruction filter

KW - SAR

KW - Speckle noise

UR - http://www.scopus.com/inward/record.url?scp=84055211880&partnerID=8YFLogxK

U2 - 10.1117/12.902749

DO - 10.1117/12.902749

M3 - Conference contribution

AN - SCOPUS:84055211880

SN - 9780819485762

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - MIPPR 2011

T2 - MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis

Y2 - 4 November 2011 through 6 November 2011

ER -

Signal-dependent noise filtering of SAR image

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this