Title :
Ship detection in Sentinel-1 imagery using the H-dome transformation
Author :
C. P. Schwegmann;W. Kleynhans;B. P. Salmon;L. Mdakane
Author_Institution :
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, South Africa
fDate :
7/1/2015 12:00:00 AM
Abstract :
The ability to reliably detect ships within the ocean is one of the core capabilities of Maritime Domain Awareness. Constant improvements are pursued in both computational speed and reliable responses to events by exploring new ship detection methods. One such improvement is the availability of Sentinel-1 imagery. Owing to the fact that ships are considered locally bright objects, we propose using the H-dome transform to process the SAR image and improve ship detectability. The method was tested against two Sentinel-1 images in both HH and HV polarizations containing 82 ships. The method improved the false alarm rates when compared to the conventional cell-averaging Constant False Alarm Rate method at a minor reduction in detection accuracy.
Keywords :
"Marine vehicles","Synthetic aperture radar","Transforms","Gray-scale","Clutter","Accuracy","Image reconstruction"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326629