TY - GEN
T1 - A SAR-SIFT Like Algorithm for PolSAR Image Registration
AU - Zou, Bin
AU - Li, Haolin
AU - Zhang, Lamei
AU - Cheng, Yan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - The synthetic aperture radar scale-invariant feature transform (SAR-SIFT) algorithm has been applied to synthetic aperture radar (SAR) image registration and has good performance. However, compared with single polarization radar images, polarimetric synthetic aperture radar (PolSAR) images have more polarization combinations, which can obtain more polarization information. Therefore, based on the scattering mechanism of PolSAR, this paper proposes a registration algorithm suitable for PolSAR images. The algorithm improves the SAR-SIFT algorithm and uses the polarization information of the PolSAR images to introduce a new gradient definition and construct new scale spaces. The algorithm proposed in this paper is tested on multi-time and multi-angle PolSAR images. The experimental results show that the proposed method can make feature points more widely distributed and obtain more correct matching point pairs, which effectively improves the registration performance of PolSAR images.
AB - The synthetic aperture radar scale-invariant feature transform (SAR-SIFT) algorithm has been applied to synthetic aperture radar (SAR) image registration and has good performance. However, compared with single polarization radar images, polarimetric synthetic aperture radar (PolSAR) images have more polarization combinations, which can obtain more polarization information. Therefore, based on the scattering mechanism of PolSAR, this paper proposes a registration algorithm suitable for PolSAR images. The algorithm improves the SAR-SIFT algorithm and uses the polarization information of the PolSAR images to introduce a new gradient definition and construct new scale spaces. The algorithm proposed in this paper is tested on multi-time and multi-angle PolSAR images. The experimental results show that the proposed method can make feature points more widely distributed and obtain more correct matching point pairs, which effectively improves the registration performance of PolSAR images.
KW - PolSAR image registration
KW - Polarimetric synthetic aperture radar (PolSAR)
KW - Remote sensing
KW - scale-invariant feature transform (SIFT)
UR - https://www.scopus.com/pages/publications/85083501176
U2 - 10.1109/APSAR46974.2019.9048486
DO - 10.1109/APSAR46974.2019.9048486
M3 - 会议稿件
AN - SCOPUS:85083501176
T3 - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
BT - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
Y2 - 26 November 2019 through 29 November 2019
ER -