19 December 2008 Fully automated procedure for ship detection using optical satellite imagery
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Abstract
Ship detection from remote sensing imagery is a crucial application for maritime security which includes among others traffic surveillance, protection against illegal fisheries, oil discharge control and sea pollution monitoring. In the framework of a European integrated project GMES-Security/LIMES, we developed an operational ship detection algorithm using high spatial resolution optical imagery to complement existing regulations, in particular the fishing control system. The automatic detection model is based on statistical methods, mathematical morphology and other signal processing techniques such as the wavelet analysis and Radon transform. This paper presents current progress made on the detection model and describes the prototype designed to classify small targets. The prototype was tested on panchromatic SPOT 5 imagery taking into account the environmental and fishing context in French Guiana. In terms of automatic detection of small ship targets, the proposed algorithm performs well. Its advantages are manifold: it is simple and robust, but most of all, it is efficient and fast, which is a crucial point in performance evaluation of advanced ship detection strategies.
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C. Corbane, C. Corbane, E. Pecoul, E. Pecoul, L. Demagistri, L. Demagistri, M. Petit, M. Petit, } "Fully automated procedure for ship detection using optical satellite imagery", Proc. SPIE 7150, Remote Sensing of Inland, Coastal, and Oceanic Waters, 71500R (19 December 2008); doi: 10.1117/12.805097; https://doi.org/10.1117/12.805097
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