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Synthetic Aperture Radar (SAR) has over the years evolved to be one of the most promising remote sensing modalities for large-scale monitoring of the ocean and maritime activity. The detection of ships at sea in SAR imagery is a challenging task, as it requires the detection of small targets with little exploitable spatial information within a high resolution image. We present a novel method for the...
This paper presents a novel preprocessing method for detecting small objects of interest within a high-resolution image, applied to the problem of visually detecting possible aircraft collisions (Sense and Avoid) for UAV platforms. The method is based on superpixel image segmentation combined with subsequent statistical analysis and anomaly detection. The existence of a possible target within a superpixel...
This paper presents a novel fusion method aimed at combining panchromatic and synthetic aperture radar(SAR) satellite imagery. The presented method seeks to combine the advantages of the two modalities while simultaneously minimizing the effect of artifacts inherent in SAR images. The alpha-stable distribution is used to model the curvelet decomposition coefficients of the image, as it caters for...
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