Tunable High‐Resolution Synthetic Aperture Radar Imaging
Abstract
We have recently introduced a modification of the multiple signal classification method for synthetic aperture radar. This method incorporates a user‐defined parameter, ϵ, that allows for tunable quantitative high‐resolution imaging. However, this method requires relatively large single‐to‐noise ratios (SNR) to work effectively. Here, we first identify the fundamental mechanism in that method that produces high‐resolution images. Then we introduce a modification to Kirchhoff Migration (KM) that uses the same mechanism to produce tunable, high‐resolution images. This modified KM method can be applied to low SNR measurements. We show simulation results that demonstrate the features of this method.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 30, 2022
- Source ID
- 10.1029/2022rs007572
Entities
People
- Arnold D. Kim
- Chrysoula Tsogka
Organizations
- Air Force Office of Scientific Research
- National Science Foundation
- University of California