Abstract

3D reconstruction using synthetic aperture radar (SAR) imaging is a computationally complex process due to the large amount of data involved. This paper proposes a partitioned reconstruction method for 3D SAR imaging, which leads to computationally efficient algorithms. The proposed method allows for parallel processing, e.g. using a general purpose graphic processing unit (GPU). Experimental results using a laboratory K-Band (15–26.5 GHz) ultra-wideband SAR system are presented. It is shown that 3D SAR reconstruction with GPU acceleration using the proposed algorithms is 300 times faster than the conventional matched filter approach.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.