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| Content Provider | IET Digital Library |
|---|---|
| Author | Garren, David Alan |
| Abstract | Moving targets in synthetic aperture radar (SAR) imagery often yield signatures that are smeared beyond recognition. One mitigation strategy is to attempt to refocus such smears as if the corresponding targets were stationary. This problem is especially difficult for cases in which the target executes time-varying rotation rates for roll, pitch and yaw, as well as for simultaneous non-linear target translational motion. The current analysis develops an arbitrary rigid object motion autofocus (AROMA) for performing automatic refocus of such targets having non-uniform rotation and translation profiles. AROMA uses a maximum likelihood signal-theoretic analysis of the physical rotation angles and translation distances arising from the unknown rigid object motions in order to generate refocused target imagery. The efficacy of this methodology is demonstrated via the injection of a simulated rotating and translating target comprised of multiple scattering centres into a cluttered background of measured Ku-band SAR data. Furthermore, the application of AROMA to an input defocused smear corresponding to a ‘target-of-opportunity’ vehicle in measured Ka-band SAR imagery yields significant improvement in the target focus, thus further validating the underlying theoretical analysis developed herein. |
| Starting Page | 1803 |
| Ending Page | 1814 |
| Page Count | 12 |
| ISSN | 17518784 |
| Volume Number | 14 |
| e-ISSN | 17518792 |
| Issue Number | Issue 11, Nov (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rsn/14/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2020.0201 |
| Journal | IET Radar, Sonar & Navigation |
| Publisher Date | 2020-08-07 |
| Access Restriction | Open |
| Rights Holder | © U.S. Government |
| Subject Keyword | Arbitrary Rigid Object Motion Autofocus AROMA Automatic Refocus Computer Vision And Image Processing Technique Corresponding Targets Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Maximum Likelihood Signal-theoretic Analysis Measured Ka-band SAR Imagery Yields Significant Improvement Measured Ku-band SAR Data Nonlinear Target Translational Motion Nonuniform Rotation Nonuniform Target Rotation Optical, Image And Video Signal Processing Physical Rotation Angles Radar Equipment Radar Imaging Refocused Target Imagery Remote Sensing by Radar Simulated Rotating Synthetic Aperture Radar Synthetic Aperture Radar Imagery System And Application Target Executes Time-varying Rotation Rates Target Focus Target Tracking Target-of-opportunity Vehicle Translating Target Translation Distances Unknown Rigid Object Motions |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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