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

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
SAR target classification; Ship recognition; Inertia tensor
List of contributors:
Bedini, Luigi; Righi, Marco; Salerno, Emanuele
Authors of the University:
RIGHI MARCO
Handle:
https://iris.cnr.it/handle/20.500.14243/334722
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/334722/131520/prod_382288-doc_129859.pdf
Published in:
PROCEEDINGS (MDPI)
Journal
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URL

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