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12 August 2014 Ship extraction and categorization from ASTER VNIR imagery
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Proceedings Volume 9229, Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014); 92291Y (2014) https://doi.org/10.1117/12.2069202
Event: Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 2014, Paphos, Cyprus
Abstract
We present a methodology for ship extraction and categorization from relatively low resolution multispectral ASTER imagery, corresponding to the sea region south east of Athens in Greece. At a first level, in the radiometrically corrected image, quad tree decomposition and bounding rectangular extraction automatically outline location of objects - possible ships, by statistically evaluating spectral responses throughout the segmented image. Subsequently, the object borders within the rectangular regions are extracted, while connected component labelling combined by size and shape filtering allows ship characterization. The ships’ spectral signature is determined in green, red and infrared bands while cluster analysis allows the identification of ship categories on the basis of their size and reflectance. Additional pixel- based measures reveal estimated ship orientation, direction, movement, stability and turning. The results are complemented with additional geographic information and inference tools are formed towards the determination of probable ship type and its destination.
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Panagiotis Partsinevelos, George Miliaresis, and Achilleas Tripolitsiotis "Ship extraction and categorization from ASTER VNIR imagery", Proc. SPIE 9229, Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 92291Y (12 August 2014); https://doi.org/10.1117/12.2069202
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