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Size and Heading of SAR-Detected Ships through the Inertia Tensor

Articolo
Data di Pubblicazione:
2018
Abstract:
We present a strategy to estimate the heading, the length overall and the beam overall of targets already detected as ships in a wide-swath SAR image acquired by a satellite platform. Such images are often affected by distortions due to marine clutter, spectral leakage, or antenna sidelobes. These can mask the target image, thus hampering the possibility of evaluating the size and the behaviour of the ship. Even in the presence of strong artefacts, we found that the principal inertia axes can help the estimation of the target heading and be included in an iterative procedure to erode the false target features, so to enable a more accurate evaluation of the overall measurements of the ship. Here we introduce our idea and present some results obtained from real SAR images.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
SAR target classification; Ship recognition; Inertia tensor
Elenco autori:
Bedini, Luigi; Righi, Marco; Salerno, Emanuele
Autori di Ateneo:
RIGHI MARCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/334722
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/334722/131520/prod_382288-doc_129859.pdf
Pubblicato in:
PROCEEDINGS (MDPI)
Journal
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URL

http://www.mdpi.com/2504-3900/2/2/97
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