Analysis of the impact of SSIM parameterization for SAR to EO translation networks

Rajith Weerasinghe; Eric Young; Ryan Shaver; Jacob Ross; J. R. Jamora

doi:10.1117/12.3013326

7 June 2024 Analysis of the impact of SSIM parameterization for SAR to EO translation networks

Rajith Weerasinghe, Eric Young, Ryan Shaver, Jacob Ross, J. R. Jamora

Proceedings Volume 13032, Algorithms for Synthetic Aperture Radar Imagery XXXI; 1303206 (2024) https://doi.org/10.1117/12.3013326
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Reconstructing 3D data of objects from limited SAR imagery is of interest due to SARs ability to actively sense targets from a far stand-off range. SAR imagery is non-literal and may not capture the same features as a passive EO camera. However, EO imagery has been shown to be a promising candidate for low-view 3D reconstruction. Thus, a common technique for SAR 3D reconstruction is to first translate a SAR image to an EO image. The structural similarity (SSIM) metric has been shown to be an effective loss function in the techniques used to translate SAR to EO. However, SSIM has several components that can be tuned to achieve optimal performance. This work addresses (i) the parameterization of SSIM for the SAR to EO translation problem and (ii) the ability to reconstruct 3D objects from SAR images after said translations. A parametric sweep is conducted to find optimal parameterization on several matched SAR and EO datasets.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rajith Weerasinghe, Eric Young, Ryan Shaver, Jacob Ross, and J. R. Jamora "Analysis of the impact of SSIM parameterization for SAR to EO translation networks", Proc. SPIE 13032, Algorithms for Synthetic Aperture Radar Imagery XXXI, 1303206 (7 June 2024); https://doi.org/10.1117/12.3013326

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available