Performance Analysis of Optical-SAR Cooperative System Based on Mutual Information

  • Chonghang Wang*
  • , Huaping Xu
  • , Zihan Zhou
  • , Chunsheng Li
  • , Wei Li
  • , Liying Xu
  • *Corresponding author for this work

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

Abstract

The current research on optical-SAR cooperative work mainly focuses on the fusion of optical and SAR images, while there are fewer studies on how the optical and SAR sensor can cooperate optimally for targets survey. In this paper, mutual information is employed as the evaluation metric of optical-SAR cooperative system. Firstly, the optical-SAR cooperative system is modeled according to imaging principles. Then the mutual information expression of the optical-SAR cooperative system is derived with the stochastic process theory. Finally, through simulation, the relationship between the mutual information of the cooperative system and the target detection probability is analyzed to verify the validity of the mutual information as the performance evaluation metric of the cooperative detection system.

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
StatePublished - 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

  • Optical-SAR Collaborative System
  • detection
  • mutual information
  • performance evaluation

Fingerprint

Dive into the research topics of 'Performance Analysis of Optical-SAR Cooperative System Based on Mutual Information'. Together they form a unique fingerprint.

Cite this