DocumentCode :
1388070
Title :
Crop Classification by Multitemporal C- and L-Band Single- and Dual-Polarization and Fully Polarimetric SAR
Author :
Skriver, Henning
Author_Institution :
DTU Space, Tech. Univ. of Denmark, Lyngby, Denmark
Volume :
50
Issue :
6
fYear :
2012
fDate :
6/1/2012 12:00:00 AM
Firstpage :
2138
Lastpage :
2149
Abstract :
Classification of crops and other land cover types is an important application of both optical/infrared and synthetic aperture radar (SAR) satellite data. It is already an import application of present satellite systems, as it will be for planned missions, such as the Sentinels. A multitemporal data set from the Danish airborne polarimetric EMISAR has been used to assess the performance of different polarization modes for crop classification. Both C- and L-band SAR data were acquired simultaneously over the Foulum agricultural test site in Denmark on a monthly basis during the growing season. Single- and dual-polarization and fully polarimetric data have been used in the analysis. The best result for a single-frequency system was a 20%-22% classification error, and the results for C-band and for L-band were very similar. The best result was obtained at C-band using the VVXP polarization combination (the dual-polarization mode, where the VV-channel and the cross-polarized channel have been combined) and at L-band using the fully polarimetric mode with the Hoekman and Vissers classifier. The best result for the combination of the C- and L-bands was 16%. In this case also, the VVXP polarization combination performed best. There is a tradeoff between the polarimetric information and the multitemporal information, where the best overall results are obtained using the multitemporal information.
Keywords :
crops; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; C-band SAR data; Danish airborne polarimetric EMISAR; Denmark; Foulum agricultural test site; Hoekman classifier; L-band SAR data; VVXP polarization; Vissers classifier; classification error analysis; crop classification analysis; cross-polarized channel; dual-polarization mode; fully polarimetric SAR; fully polarimetric data; infrared satellite data; land cover; multitemporal C-band dual-polarization; multitemporal C-band single-polarization; multitemporal L-band dual-polarization; multitemporal L-band single-polarization; multitemporal data set; multitemporal information; optical satellite data; polarimetric information; single-frequency system; synthetic aperture radar satellite data; Accuracy; Agriculture; Backscatter; Covariance matrix; L-band; Scattering; Springs; Classification; crops; multitemporal; polarization; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2011.2172994
Filename :
6094205
Link To Document :
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