M
Marco Martorella
Researcher at University of Pisa
Publications - 277
Citations - 4474
Marco Martorella is an academic researcher from University of Pisa. The author has contributed to research in topics: Inverse synthetic aperture radar & Radar imaging. The author has an hindex of 30, co-authored 247 publications receiving 3633 citations. Previous affiliations of Marco Martorella include University of Queensland.
Papers
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Journal ArticleDOI
High-resolution ISAR imaging of maneuvering targets by means of the range instantaneous Doppler technique: modeling and performance analysis
TL;DR: This paper analytically shows that the RID technique works properly when high-resolution ISAR images are required of maneuvering and/or rolling, pitching, and yawing targets; and quantifies the performance improvement of the R ID technique with respect to the RD technique.
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Contrast maximisation based technique for 2-D ISAR autofocusing
TL;DR: An image contrast based algorithm for 2-D ISAR image autofocusing that guarantees the convergence of the optimisation problem solution to the global maximum is proposed and results confirm the effectiveness of the proposed algorithm.
Book
Inverse Synthetic Aperture Radar Imaging: Principles, algorithms and applications
Victor C. Chen,Marco Martorella +1 more
TL;DR: Basic principles of radar backscattering, radar imaging, and signal analysis are introduced, which describes the characteristics of radar returns from targets, how to produce well-focused ISAR images of moving targets, and what features that can extracted from ISar images.
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Novel approach for ISAR image cross-range scaling
TL;DR: A blind technique is proposed for estimating the modulus of the target effective rotation vector that exploits information carried by the chirp rate of scattering centres that is based on image segmentation, local polynomial Fourier transform, and image contrast maximisation.
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On Bistatic Inverse Synthetic Aperture Radar
TL;DR: It is shown here how a particular bistatic configuration can produce three view angles and three ISAR images simultaneously.