Publication Date:
2017
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:
04.01 Contributo in Atti di convegno
Keywords:
SAR target classification; Ship recognition; Inertia tensor
List of contributors: