DocumentCode
143100
Title
All season assessment of RADARSAT Constellation Mission compact polarimetry modes for canadian ICE service operational implementation
Author
Geldsetzer, Torsten ; Arkett, Matt ; Zagon, Thomas
Author_Institution
Torsten Geldsetzer, Calgary, AB, Canada
fYear
2014
fDate
13-18 July 2014
Firstpage
1560
Lastpage
1563
Abstract
The RADARSAT Constellation Mission (RCM) will have the capability of acquiring all of its beam modes in a compact polarimetry (CP) configuration. The RCM SAR will transmit circular polarization and receive two orthogonal mutually coherent linear polarizations at swath widths large enough for operational sea ice monitoring. CP parameters are synthesized from RADARSAT-2 quad-polarized data, to emulate three RCM modes at different resolutions and noise floors. From an initial set of 26 CP parameters and 5 standard parameters, the most promising parameters for sea ice type and open water discrimination are identified for each ice season, using two-sample Kolmogorov-Smirnov testing. The most promising parameters are further analyzed to assess their suitability for automated classification while qualitative analysis is also performed to assess the interpretive improvement of CP parameters over standard co- and cross-polarized imagery.
Keywords
geophysical image processing; image classification; radar polarimetry; remote sensing by radar; sea ice; synthetic aperture radar; Canadian ice service operational implementation; RADARSAT Constellation Mission; RADARSAT-2 quadpolarized data; SAR; automated classification; compact polarimetry configuration; open water discrimination; sea ice monitoring; sea ice type; two-sample Kolmogorov-Smirnov testing; Correlation; Polarimetry; Sea ice; Standards; Visualization; Wind speed; SAR; compact polarimetry; sea ice;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6946737
Filename
6946737
Link To Document