Abstract
Synthetic aperture radar (SAR) uses radio waves to detect targets in all-weather conditions. The latest SAR development enables to operate drone-based SAR systems that can detect low radar cross section (RCS) targets hidden around foliage areas in mountain sides. In drone SAR equipment, low weight constraints limit the battery capacity and pulse sampling rate, leading to image quality degradation. In this study, we attempt to enhance the image quality of power limited drone SAR system by applying compression sensing algorithms. After conducting on-site field experiments, an adaptive target detection process is adopted toward low RCS targets concealed in vegetation areas. It is shown that drone SARs can be used to obtain images of various underground targets or targets hidden under foliage using enhanced compressive sensing algorithms.
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 callMore From: The Journal of Korean Institute of Electromagnetic Engineering and Science
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.
