Application of Mean-Shift Filtering to Ship Wakes Detection in SAR Images
Conference: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
06/07/2010 - 06/10/2010 at Aachen, Germany
Proceedings: EUSAR 2010
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Mata-Moya, D.; Jarabo-Amores, P.; Jimenez-Chaparro, B.; Nicolás-Presa, J. Martín de; Nieto-Borge, J. C. (Signal Theory and Communications Department, Technical School, University of Alcalá, Ctra. Madrid-Barcelona, km. 33.600, 28805, Alcalá de Henares, Madrid, Spain)
Application of mean-shift filtering for speckle noise reduction in SAR images is proposed, as a pre-processing stage in a problem of ship wakes detection. An automatic detection algorithm based on normalized locally Radon transform is used. The algorithm extracts peaks in transform space with a locally adaptive threshold due to variations of sea clutter. The entropy is calculated in order to identify true ship wakes from spurious linear features. An image acquired by TerraSAR-X is considered. Results show that the ship wake detection in the presence of speckle noise is better when the mean-shift filtering is used.