Micro-motion estimation of maritime targets using pixel tracking in cosmo-skymed synthetic aperture radar data : an operative assessment
Biondi, Filippo and Addabbo, Pia and Orlando, Danilo and Clemente, Carmine (2019) Micro-motion estimation of maritime targets using pixel tracking in cosmo-skymed synthetic aperture radar data : an operative assessment. Remote Sensing, 11 (14). 1637. ISSN 2072-4292 (https://doi.org/10.3390/rs11141637)
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Abstract
In this paper, we propose a novel strategy to estimate the micro-motion (m-m) of ships from synthetic aperture radar (SAR) images. To this end, observe that the problem of motion and m-m detection of targets is usually solved using synthetic aperture radar (SAR) along-track interferometry through two radars spatially separated by a baseline along the azimuth direction. The approach proposed in this paper for m-m estimation of ships, occupying thousands of pixels, processes the information generated during the coregistration of several re-synthesized time-domain and not overlapped Doppler sub-apertures. Specifically, the SAR products are generated by splitting the raw data according to a temporally small baseline using one single wide-band staring spotlight (ST) SAR image. The predominant vibrational modes of different ships are then estimated. The performance analysis is conducted on one ST SAR image recorded by COSMO-SkyMed satellite system. Finally, the newly proposed approach paves the way for application to the surveillance of land-based industry activities.
ORCID iDs
Biondi, Filippo, Addabbo, Pia, Orlando, Danilo and Clemente, Carmine ORCID: https://orcid.org/0000-0002-6665-693X;-
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Item type: Article ID code: 68911 Dates: DateEvent10 July 2019Published4 July 2019AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Measurement Science and Enabling Technologies
Strategic Research Themes > Ocean, Air and SpaceDepositing user: Pure Administrator Date deposited: 18 Jul 2019 12:55 Last modified: 19 Nov 2024 18:57 URI: https://strathprints.strath.ac.uk/id/eprint/68911