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Automatic refocus and feature extraction of single-look complex SAR signatures of vessels

Author
Yam , L.E.; Mallorqui, J.J.
Type of activity
Journal article
Journal
European journal of remote sensing
Date of publication
2016
Volume
49
First page
745
Last page
758
DOI
https://doi.org/10.5721/EuJRS20164939 Open in new window
Repository
http://hdl.handle.net/2117/102935 Open in new window
URL
http://www.tandfonline.com/doi/abs/10.5721/EuJRS20164939 Open in new window
Abstract
In recent years, spaceborne synthetic aperture radar ( SAR) technology has been considered as a complement to cooperative vessel surveillance systems thanks to its imaging capabilities. In this paper, a processing chain is presented to explore the potential of using basic stripmap single-look complex ( SLC) SAR images of vessels for the automatic extraction of their dimensions and heading. Local autofocus is applied to the vessels' SAR signatures to compensate blurring artefacts in the azimuth d...
Citation
Yam , L.E., Mallorqui, J.J. Automatic refocus and feature extraction of single-look complex SAR signatures of vessels. "European Journal of Remote Sensing", 2016, vol. 49, p. 745-758.
Keywords
Autofocus, Feature analysis, SAR, Surveillance, Vessel detection
Group of research
CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
RSLAB - Remote Sensing Lab

Participants