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A notch filter for ship detection with polarimetric SAR data

Marino, Armando (2013). A notch filter for ship detection with polarimetric SAR data. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 6(3) pp. 1219–1232.

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Ship detection with Synthetic Aperture Radar (SAR) is a major topic for the security and monitoring of maritime areas. One of the advantages of using SAR lay in its capability to acquire useful images with any-weather conditions and at night time. Specifically, this paper proposes a new methodology exploiting polarimetric acquisitions (dual- and quad-polarimetric).

The methodology adopted for the detector algorithm was introduced by the author and performs a perturbation analysis in space of polarimetric targets checking for coherence between the target to detect and its perturbed version on the data. In the present work, this methodology is optimized for detection of marine features. In the end, the algorithm can be considered to be a negative (notch) filter focused on sea. Consequently, all the features which have a polarimetric behavior different from the sea are detected (i.e. ships, icebergs, buoys, etc). Moreover, a dual polarimetric version of the detector is designed, to be exploited in the circumstances where quad polarimetric data cannot be acquired.

The detector was tested with TerraSAR-X quad polarimetric data showing significant agreement with the available ground truth. Moreover, the theoretical performances of the detector are tested with Monte Carlo simulations in order to extract the probabilities of detection and false alarm. An important result is that the detector is, up to some extend, independent of the sea conditions.

Item Type: Journal Item
Copyright Holders: 2013 IEEE
ISSN: 1939-1404
Keywords: synthetic aperture radar; polarimetry; ship detection; TerraSAR-X
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Space
Item ID: 43623
Depositing User: Armando Marino
Date Deposited: 06 Jul 2015 10:46
Last Modified: 07 Dec 2018 16:34
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