TY - GEN
T1 - Multi-angle Image Fusion in Ground-based Radar Lunar Imaging Based on Image Kurtosis
AU - Yang, Yuewen
AU - Liu, Peiyao
AU - Zhu, Kaiwen
AU - Wang, Zhen
AU - Sun, Tao
AU - Ding, Zegang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The fusion of multi-angle lunar images can provide more comprehensive lunar topography information than original images, and ground-based (GB) radar has the ability to acquire multi-angle lunar images. In GB radar multi-angle lunar image fusion, proper radar trajectories should be selected, and image fusion algorithm should be used. In this paper, the multi-angle lunar image fusion technique for GB synthetic aperture radar (SAR) based on image kurtosis is proposed. To begin with, the echo signal model considering space-variant backscattering coefficient is established to reflect lunar topography feature. After that, a multi-angle radar trajectory selection method based on K-means algorithm is proposed to acquire multi-angle lunar images. Thereafter a multi-angle lunar image fusion algorithm based on image kurtosis and gradient descent is proposed to acquire the fused image. Finally, computer simulation results validate the effectiveness of the proposed technique.
AB - The fusion of multi-angle lunar images can provide more comprehensive lunar topography information than original images, and ground-based (GB) radar has the ability to acquire multi-angle lunar images. In GB radar multi-angle lunar image fusion, proper radar trajectories should be selected, and image fusion algorithm should be used. In this paper, the multi-angle lunar image fusion technique for GB synthetic aperture radar (SAR) based on image kurtosis is proposed. To begin with, the echo signal model considering space-variant backscattering coefficient is established to reflect lunar topography feature. After that, a multi-angle radar trajectory selection method based on K-means algorithm is proposed to acquire multi-angle lunar images. Thereafter a multi-angle lunar image fusion algorithm based on image kurtosis and gradient descent is proposed to acquire the fused image. Finally, computer simulation results validate the effectiveness of the proposed technique.
KW - gradient descent
KW - ground-based (GB) radar
KW - image kurtosis
KW - lunar imaging
KW - multi-angle image fusion
UR - http://www.scopus.com/inward/record.url?scp=86000015930&partnerID=8YFLogxK
U2 - 10.1109/ICSIDP62679.2024.10867906
DO - 10.1109/ICSIDP62679.2024.10867906
M3 - Conference contribution
AN - SCOPUS:86000015930
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -