Title :
Building characterization using polarimetric tomographic SAR data
Author :
Guillaso, Stephane ; D´Hondt, Olivier ; Hellwich, Olaf
Author_Institution :
Comput. Vision & Remote Sensing, Berlin Univ. of Technol., Berlin, Germany
Abstract :
This paper describes the characterization of buildings using fully polarimetric tomographic SAR data at L-Band. This analysis is performed in three steps. Polarimetric tomographic data are first processed using the high resolution spectral estimator MUSIC (FP-MUSIC-1), assuming 1 scatterer. Then, points of interest are extracted using a novel signal-to-noise index. A strong reduction of artifacts is observed. Finally, detected scatterers are identified by retrieving their polarization state.
Keywords :
geophysical image processing; radar imaging; radar polarimetry; remote sensing; synthetic aperture radar; FP-MUSIC-1; L- Band; artifacts reduction; building characterization; high resolution spectral estimator MUSIC; polarimetric tomographic SAR data; polarization state; scatterer detection; signal-to-noise index; Buildings; Estimation; Indexes; Synthetic aperture radar; Three-dimensional displays; Tomography; Vectors;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2013 Joint
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4799-0213-2
Electronic_ISBN :
978-1-4799-0212-5
DOI :
10.1109/JURSE.2013.6550708
