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Exploiting polarization using multi-frequency SAR data and multi-dimensional time-frequency techniques
Author(s) -
Canbin Hu,
Wei Wang,
Lingjun Zhao,
Gangyao Kuang
Publication year - 2014
Publication title -
iop conference series earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/17/1/012240
Subject(s) - polarimetry , computer science , azimuth , coherence (philosophical gambling strategy) , time–frequency analysis , remote sensing , polarization (electrochemistry) , artificial intelligence , pattern recognition (psychology) , radar , geology , scattering , mathematics , physics , optics , telecommunications , statistics , chemistry
During recent years, Time-Frequency (TF) techniques have been introduced to characterize scene polarimetric behaviours using PolSAR data. In this paper, we apply a TF decomposition approach to the analysis of PolSAR data with different frequency bands and show some polarimetric TF behaviours of various scenes. The PolSAR data may be decomposed in azimuth direction, range direction only and in both directions. Two statistical descriptor, i.e., polarimetric TF stationarity and coherence indicators, are used to depict the features of the scene backscattering response. Their individual performance is assessed. The polarimetric TF features, extracted from the scenes of interest, can show some special relevant information compared to the original full resolution case. Moreover, with the availability of new multi-frequency full-polarization high resolution F-SAR data, the results of same site with respect to different frequency bands are exploited and compared with each other.

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