Three-dimensional object reconstruction from sparse multi-pass SAR data

Theresa Scarnati; J. R. Jamora

doi:10.1117/12.2593601

12 April 2021 Three-dimensional object reconstruction from sparse multi-pass SAR data

Theresa Scarnati, J. R. Jamora

Proceedings Volume 11728, Algorithms for Synthetic Aperture Radar Imagery XXVIII; 117280I (2021) https://doi.org/10.1117/12.2593601
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

As humans, we perceive the world in three dimensions. However, many militarily relevant sensing capabilities only display two-dimensional information to users in the form of imagery. In this work we develop and analyze a technique for reconstructing objects in three dimensions given sparse amounts of synthetic aperture radar (SAR) data. We analyze the required sampling rates of the proposed techniques and conduct a thorough analysis of the accuracy of our methods.

Conference Presentation

Citation Download Citation

Theresa Scarnati and J. R. Jamora "Three-dimensional object reconstruction from sparse multi-pass SAR data", Proc. SPIE 11728, Algorithms for Synthetic Aperture Radar Imagery XXVIII, 117280I (12 April 2021); https://doi.org/10.1117/12.2593601

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