An optimization algorithm based on Bi-SIFT for SAR image registration

Liu Fuqiang; Bi Fukun; Chen Liang; Wei Hang; Tie Wenjie

An optimization algorithm based on Bi-SIFT for SAR image registration

Liu Fuqiang, Bi Fukun^*, Chen Liang, Wei Hang, Tie Wenjie

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

Registration is an effective pre-processing for amounts of applications like image mosaic, mapping, remote detection, and change detection. The scale-invariant feature transform (SIFT) and block matching are two widely algorithms for registration in computer vision. However, as a result of speckle noises, the two algorithms perform unsatisfactorily on synthetic aperture radar (SAR) images. In this paper, we introduce an algorithm, which is named Bi-SIFT optimization algorithm, combing SIFT in two different scales and optimization model in block matching. Bi-SIFT ensures enough correct matching pairs rather than avoiding mismatching-pairs, which is used in traditional ways, to make it more effective. We illustrate the improvement brought by Bi-SIFT by both qualitative analysis and comparing test. Besides, we present serious registration applications of Bi-SIFT.

Original language	English
Publication status	Published - 2015
Event	IET International Radar Conference 2015 - Hangzhou, China Duration: 14 Oct 2015 → 16 Oct 2015

Conference

Conference	IET International Radar Conference 2015
Country/Territory	China
City	Hangzhou
Period	14/10/15 → 16/10/15

Keywords

Optimization model
SAR image registration
Scale-invariant feature transform (SIFT)
Synthetic aperture radar (SAR)

Cite this

@conference{018ca9e95db44409ad1bc79d11180e06,

title = "An optimization algorithm based on Bi-SIFT for SAR image registration",

abstract = "Registration is an effective pre-processing for amounts of applications like image mosaic, mapping, remote detection, and change detection. The scale-invariant feature transform (SIFT) and block matching are two widely algorithms for registration in computer vision. However, as a result of speckle noises, the two algorithms perform unsatisfactorily on synthetic aperture radar (SAR) images. In this paper, we introduce an algorithm, which is named Bi-SIFT optimization algorithm, combing SIFT in two different scales and optimization model in block matching. Bi-SIFT ensures enough correct matching pairs rather than avoiding mismatching-pairs, which is used in traditional ways, to make it more effective. We illustrate the improvement brought by Bi-SIFT by both qualitative analysis and comparing test. Besides, we present serious registration applications of Bi-SIFT.",

keywords = "Optimization model, SAR image registration, Scale-invariant feature transform (SIFT), Synthetic aperture radar (SAR)",

author = "Liu Fuqiang and Bi Fukun and Chen Liang and Wei Hang and Tie Wenjie",

year = "2015",

language = "English",

note = "IET International Radar Conference 2015 ; Conference date: 14-10-2015 Through 16-10-2015",

}

TY - CONF

T1 - An optimization algorithm based on Bi-SIFT for SAR image registration

AU - Fuqiang, Liu

AU - Fukun, Bi

AU - Liang, Chen

AU - Hang, Wei

AU - Wenjie, Tie

PY - 2015

Y1 - 2015

N2 - Registration is an effective pre-processing for amounts of applications like image mosaic, mapping, remote detection, and change detection. The scale-invariant feature transform (SIFT) and block matching are two widely algorithms for registration in computer vision. However, as a result of speckle noises, the two algorithms perform unsatisfactorily on synthetic aperture radar (SAR) images. In this paper, we introduce an algorithm, which is named Bi-SIFT optimization algorithm, combing SIFT in two different scales and optimization model in block matching. Bi-SIFT ensures enough correct matching pairs rather than avoiding mismatching-pairs, which is used in traditional ways, to make it more effective. We illustrate the improvement brought by Bi-SIFT by both qualitative analysis and comparing test. Besides, we present serious registration applications of Bi-SIFT.

AB - Registration is an effective pre-processing for amounts of applications like image mosaic, mapping, remote detection, and change detection. The scale-invariant feature transform (SIFT) and block matching are two widely algorithms for registration in computer vision. However, as a result of speckle noises, the two algorithms perform unsatisfactorily on synthetic aperture radar (SAR) images. In this paper, we introduce an algorithm, which is named Bi-SIFT optimization algorithm, combing SIFT in two different scales and optimization model in block matching. Bi-SIFT ensures enough correct matching pairs rather than avoiding mismatching-pairs, which is used in traditional ways, to make it more effective. We illustrate the improvement brought by Bi-SIFT by both qualitative analysis and comparing test. Besides, we present serious registration applications of Bi-SIFT.

KW - Optimization model

KW - SAR image registration

KW - Scale-invariant feature transform (SIFT)

KW - Synthetic aperture radar (SAR)

UR - http://www.scopus.com/inward/record.url?scp=84973575297&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84973575297

T2 - IET International Radar Conference 2015

Y2 - 14 October 2015 through 16 October 2015

ER -

An optimization algorithm based on Bi-SIFT for SAR image registration

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this