Title :
Ship wake detection in SAR images: a segmentation-based approach
Author :
Sciotti, Massimo ; Capecchi, Giancarlo ; Lombardo, Pierfrancesco
Author_Institution :
Dept. INFOCOM, Univ. of Rome "La Sapienza", Italy
Abstract :
This paper deals with the derivation of a fully automatic and reliable ship wake detector (SWD), which can operate in conjunction with a ship detector scheme (SD) for ship traffic control against non-homogeneous sea background in SAR images. A novel segmentation-based technique is introduced for ship wake detection, which overcomes the drawbacks suffered by standard techniques operating in non-homogeneous background. This is composed of a preliminary segmentation stage to extract context information, followed by a modified wake detector. The new SWD scheme is shown to yield a large performance improvement on both simulated and real SAR data.
Keywords :
image segmentation; marine radar; ocean waves; oceanographic techniques; radar detection; radar imaging; remote sensing by radar; ships; synthetic aperture radar; wakes; SAR; boat; image segmentation; ocean; ocean wave; radar detection; radar imaging; radar remote sensing; sea surface; ship; ship wake detector; shipping industry; synthetic aperture radar; traffic control; wake detection; Computer vision; Data mining; Detectors; Image segmentation; Image sensors; Marine vehicles; Motion detection; Robust control; Sensor phenomena and characterization; Traffic control;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1024957