Title :
Detection of sea ice motion from co- and cross-polarization RADARSAT-2 images
Author :
Komarov, Alexander ; Barber, David
Author_Institution :
Centre for Earth Obs. Sci., Univ. of Manitoba, Winnipeg, MB, Canada
Abstract :
In this study we used our automated sea ice motion tracking algorithm - that operates with two sequential Synthetic Aperture Radar (SAR) images - to investigate capabilities of HH and HV channels of RADARSAT-2 ScanSAR imagery for ice motion detection. We analyzed ice motion tracking results derived from 10 dual-polarization RADARSAT-2 images and formulated a condition where the HV channel is more reliable than the HH channel for ice tracking. Furthermore, we found that the ice motion tracking from the HV channel is not affected by noise floor stripes, which are prominent in the cross-polarization RADARSAT-2 ScanSAR images.
Keywords :
geophysical image processing; image motion analysis; image sequences; object detection; oceanographic techniques; radar imaging; radar polarimetry; sea ice; spaceborne radar; synthetic aperture radar; HH channel; HV channel; RADARSAT-2 ScanSAR imagery; copolarization RADARSAT-2 image; cross-polarization RADARSAT-2 ScanSAR image; cross-polarization RADARSAT-2 image; dual-polarization RADARSAT-2 image; noise floor stripe; sea ice motion detection; sea ice motion tracking algorithm; sequential synthetic aperture radar image; RADARSAT-2; SAR; cross-polarization; sea ice motion;
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.2012.6350604
