Title :
Ship detection based on feature confidence for high resolution SAR images
Author :
Jiang, Shaofeng ; Wang, Chao ; Zhang, Bo ; Zhang, Hong
Author_Institution :
Center for Earth Obs. & Digital Earth, Beijing, China
Abstract :
Ship detection is an important application of global monitoring of ocean environment and maritime traffic. Synthetic aperture radar (SAR) systems are active sensors offering unique good spatial resolution regardless of weather or other conditions. It has been widely used for ship detection. An improved ship detection for high resolution SAR images based on the ship feature confidence is proposed in this paper. The features include kernel density estimation, length-width ratio and the number of target pixels. Targets with high feature confidence will be interpreted as ships. The COSMO-SkyMed SAR image is adopted for investigating the proposed algorithm. Experiment results illustrate that the method can achieve good performances.
Keywords :
object detection; radar imaging; radar resolution; synthetic aperture radar; COSMO-SkyMed SAR image; active sensors; global monitoring; high-resolution SAR images; kernel density estimation; length-width ratio; maritime traffic; ocean environment; ship detection; ship feature confidence; spatial resolution; synthetic aperture radar systems; Clutter; Estimation; Feature extraction; Image resolution; Kernel; Marine vehicles; Synthetic aperture radar; Constant false alarm rate (CFAR); K-distribution; feature confidence; high resolution SAR; ship detection;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352591
