TY - GEN
T1 - Ratio-based similarity criteria for polarimetric SAR image
AU - Aghababaei, H.
AU - Ferraioli, G.
AU - Pascazio, V.
N1 - Publisher Copyright:
© 2020 International Society for Photogrammetry and Remote Sensing. All rights reserved.
PY - 2020/11/6
Y1 - 2020/11/6
N2 - Dealing with multi-look polarimetric synthetic aperture radar (PolSAR) images requires averaging several independent looks to generate a sample covariance matrix of similar target scattering vectors. Along this, estimation of optimal similarity between target scattering vectors is still an open issue. In the literature, this intrinsic task has been mainly addressed in the information-based, geometric-based and detection-based frameworks. However, the derived measures mainly rely on the model assumption such as fully developed speckle and circular complex Gaussian distribution of the scattering vectors, which may not be held in high-resolution images of urban environments. To cope with this possible issue a discriminative model-free measure is proposed, where the similarity of target scattering is computed in the framework of non-local or patch based algorithm. In particular, the discriminative measure is constructed using the ratio between two pre-estimated covariance matrices of the scattering vectors. Experimental validation of the proposed measure is provided using ALOS-PALSAR image and compared with existing criterions in the literature.
AB - Dealing with multi-look polarimetric synthetic aperture radar (PolSAR) images requires averaging several independent looks to generate a sample covariance matrix of similar target scattering vectors. Along this, estimation of optimal similarity between target scattering vectors is still an open issue. In the literature, this intrinsic task has been mainly addressed in the information-based, geometric-based and detection-based frameworks. However, the derived measures mainly rely on the model assumption such as fully developed speckle and circular complex Gaussian distribution of the scattering vectors, which may not be held in high-resolution images of urban environments. To cope with this possible issue a discriminative model-free measure is proposed, where the similarity of target scattering is computed in the framework of non-local or patch based algorithm. In particular, the discriminative measure is constructed using the ratio between two pre-estimated covariance matrices of the scattering vectors. Experimental validation of the proposed measure is provided using ALOS-PALSAR image and compared with existing criterions in the literature.
KW - Non local filters
KW - Polarimetric SAR image
KW - Ratio image
KW - Similarity criterion
KW - ITC-GOLD
U2 - 10.5194/isprs-archives-XLII-3-W12-2020-483-2020
DO - 10.5194/isprs-archives-XLII-3-W12-2020-483-2020
M3 - Conference contribution
AN - SCOPUS:85097347294
VL - 42
T3 - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SP - 483
EP - 486
BT - 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020)
A2 - Hernández Palma, H.J.
A2 - Cárdenas Mansilla, C.A.
A2 - Frery, A.
A2 - Feitosa, R.Q.
PB - International Society for Photogrammetry and Remote Sensing (ISPRS)
T2 - 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020
Y2 - 22 March 2020 through 26 March 2020
ER -