Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data

被引:57
作者
Dey, Subhadip [1 ]
Bhattacharya, Avik [1 ]
Ratha, Debanshu [1 ]
Mandal, Dipankar [1 ]
Frery, Alejandro C. [2 ,3 ]
机构
[1] Indian Inst Technol, Ctr Studies Resources Engn, Microwave Remote Sensing Lab, Mumbai 400076, Maharashtra, India
[2] Univ Fed Alagoas, BR-57072900 Maceio, Alagoas, Brazil
[3] Xidian Univ, Minist Educ, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2021年 / 59卷 / 05期
关键词
Compact polarimetry; full polarimetry; scattering-type parameter; target characterization; target decomposition; MODEL-BASED DECOMPOSITION; COHERENCY MATRIX; UNITARY TRANSFORMATION; ENTROPY; POLARIZATION;
D O I
10.1109/TGRS.2020.3010840
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In radar polarimetry, incoherent target decomposition techniques help extract scattering information from polarimetric synthetic aperture radar (SAR) data. This is achieved either by fitting appropriate scattering models or by optimizing the received wave intensity through the diagonalization of the coherency (or covariance) matrix. As such, the received wave information depends on the received antenna configuration. Additionally, a polarimetric descriptor that is independent of the received antenna configuration might provide additional information which is missed by the individual elements of the coherency matrix. This implies that existing target characterization techniques might neglect this information. In this regard, we suitably utilize the 2-D and 3-D Barakat degree of polarization which is independent of the received antenna configuration to obtain distinct polarimetric information for target characterization. In this study, we introduce new roll-invariant scattering-type parameters for both full-polarimetric (FP) and compact-polarimetric (CP) SAR data. These new parameters jointly use the information of the 2-D and 3-D Barakat degree of polarization and the elements of the coherency (or covariance) matrix. We use these new scattering-type parameters, which provide equivalent information as the Cloude chi for FP SAR data and the ellipticity parameter chi for CP SAR data, to characterize various targets adequately. Additionally, we appropriately utilize these new scattering-type parameters to obtain unique nonmodel-based three-component scattering power decomposition techniques. We obtain the even-bounce, and the odd-bounce scattering powers by modulating the total polarized power by a proper geometrical factor derived using the new scattering-type parameters for FP and CP SAR data. The diffused scattering power is obtained as the depolarized fraction of the total power. Moreover, due to the nature of its formulation, the decomposition scattering powers are non-negative and roll-invariant while the total power is conserved. The proposed method is both qualitatively and quantitatively assessed utilizing the L-band ALOS-2 and C-band Radarsat-2 FP and the associated simulated CP SAR data.
引用
收藏
页码:3981 / 3998
页数:18
相关论文
共 42 条
[1]   Polarimetric SAR characterization of man-made structures in urban areas using normalized circular-pol correlation coefficients [J].
Ainsworth, T. L. ;
Schuler, D. L. ;
Lee, J. -S. .
REMOTE SENSING OF ENVIRONMENT, 2008, 112 (06) :2876-2885
[2]   A Reflection Symmetry Approximation of Multilook Polarimetric SAR Data and its Application to Freeman-Durden Decomposition [J].
An, Wentao ;
Lin, Mingsen .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (06) :3649-3660
[3]   Three-Component Model-Based Decomposition for Polarimetric SAR Data [J].
An, Wentao ;
Cui, Yi ;
Yang, Jian .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (06) :2732-2739
[4]   A General Characterization for Polarimetric Scattering From Vegetation Canopies [J].
Arii, Motofumi ;
van Zyl, Jakob J. ;
Kim, Yunjin .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (09) :3349-3357
[5]   Polarimetric Phase and Implications for Urban Classification [J].
Atwood, Donald K. ;
Thirion-Lefevre, Laetitia .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (03) :1278-1289
[6]   DEGREE OF POLARIZATION AND PRINCIPAL IDEMPOTENTS OF COHERENCY MATRIX [J].
BARAKAT, R .
OPTICS COMMUNICATIONS, 1977, 23 (02) :147-150
[7]   N-FOLD POLARIZATION MEASURES AND ASSOCIATED THERMODYNAMIC ENTROPY OF N PARTIALLY COHERENT PENCILS OF RADIATION [J].
BARAKAT, R .
OPTICA ACTA, 1983, 30 (08) :1171-1182
[8]   A new compact polarimetric SAR decomposition technique [J].
Bhattacharya, A. ;
De, S. ;
Muhuri, A. ;
Surendar, M. ;
Venkataraman, G. ;
Das, A. K. .
REMOTE SENSING LETTERS, 2015, 6 (12) :914-923
[9]   Modifying the Yamaguchi Four-Component Decomposition Scattering Powers Using a Stochastic Distance [J].
Bhattacharya, Avik ;
Muhuri, Arnab ;
De, Shaunak ;
Manickam, Surendar ;
Frery, Alejandro C. .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (07) :3497-3506
[10]   An Adaptive General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix (AG4U) [J].
Bhattacharya, Avik ;
Singh, Gulab ;
Manickam, Surendar ;
Yamaguchi, Yoshio .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (10) :2110-2114