Three-dimensional spherical SAR template and feature recognition

Matthew Pepin

doi:10.1117/12.3012786

7 June 2024 Three-dimensional spherical SAR template and feature recognition

Matthew Pepin

Proceedings Volume 13032, Algorithms for Synthetic Aperture Radar Imagery XXXI; 1303203 (2024) https://doi.org/10.1117/12.3012786
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

The high sample density and rich feature set of 3D SAR makes high performance target recognition possible even in noisy environments. The recognition performance with 3D imaging is examined for full target templates and for feature decompositions of the target. Spherical SAR with di§erent Fourier-based focusing across di§erent frequencies provides 3D image volumes that can be further segmented to reveal component surfaces of the target. The sparse clustering of distinct target components and the high adjacent voxel density in these cluster add to increase performance in 3D object understanding. Robust recognition depends on how well these templates and features perform across di§erent noise levels. Target templates consist of multiple orthogonal views of the target. The components in each view can then be further segmented into points of high reáection (point scatterers), like-oriented surfaces, edge or surface clusters, or even di§erent surface roughness components. Recognition then consists of either a whole target template or a feature aggregated target model which are both similar to the noise-free image data but di§erent enough from the image data of dissimilar targets. This approach leads to more heuristic recognition algorithms but also leads to a more detailed understanding of the target and its most distinct features. This may lead to better target understanding, as well as, an ability to identify any feature variations from the originally imaged target model. Alternative recognition approaches or even this approach may be automated to apply to more generic 3D imaged objects, but key to a more detailed understanding is the ability to determine why or what features led to the identiÖcation.

Conference Presentation

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

Citation Download Citation

Matthew Pepin "Three-dimensional spherical SAR template and feature recognition", Proc. SPIE 13032, Algorithms for Synthetic Aperture Radar Imagery XXXI, 1303203 (7 June 2024); https://doi.org/10.1117/12.3012786

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