Multi-angle Image Fusion in Ground-based Radar Lunar Imaging Based on Image Kurtosis

Yuewen Yang, Peiyao Liu, Kaiwen Zhu*, Zhen Wang, Tao Sun, Zegang Ding

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
Publication statusPublished - 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • gradient descent
  • ground-based (GB) radar
  • image kurtosis
  • lunar imaging
  • multi-angle image fusion

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