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 -