Volume Scattering Power Constraint Based on the Principal Minors of the Coherency Matrix

被引:3
|
作者
Kusano, Shunichi [1 ]
Takahashi, Kazunori [2 ]
Sato, Motoyuki [3 ]
机构
[1] Tohoku Univ, Grad Sch Environm Studies, Sendai, Miyagi 9808576, Japan
[2] Tohoku Univ, Grad Sch Sci, Sendai, Miyagi 9808576, Japan
[3] Tohoku Univ, Ctr Northeast Asian Studies, Sendai, Miyagi 9808576, Japan
基金
日本学术振兴会;
关键词
Model-based decompositions; nonnegative eigenvalue; polarimetric synthetic aperture radar (POLSAR); positive semidefinite matrix; principal minor; POLARIMETRIC SAR DATA; DECOMPOSITION; MODEL;
D O I
10.1109/LGRS.2013.2258654
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
This letter proposes a constraint for a volume scattering power employing the principal minors, which can be used for polarimetric synthetic aperture radar (POLSAR) model-based decomposition. This constraint effectively allows for avoiding unreasonable results which yield negative eigenvalues. The proposed constraint is derived so that all the principal minors of the coherency matrix after volume scattering subtraction are nonnegative. Mathematically, the constraint is exactly the same as that based on the nonnegative eigenvalues. Thus, it is guaranteed that the result is physically reasonable and that the volume scattering power is not overestimated. A significant advantage of the proposed method compared to the constraint based on the nonnegative eigenvalues is the high computation efficiency, since the maximal volume scattering power can be derived analytically, while the nonnegative eigenvalue constraint requires a numerical calculation. In our experiment, the computation of the maximal power is six times faster using the approach based on the principal minors than that based on the nonnegative eigenvalues.
引用
收藏
页码:361 / 365
页数:5
相关论文
共 50 条
  • [31] A combinatorial formula for principal minors of a matrix with tree-metric exponents and its applications
    Hirai, Hiroshi
    Yabe, Akihiro
    JOURNAL OF COMBINATORIAL THEORY SERIES A, 2015, 133 : 261 - 279
  • [32] Principal minors of Hermitian (quasi-)Laplacian matrix of second kind for mixed graphs
    Xiong, Qi
    Tian, Gui-Xian
    Cui, Shu-Yu
    DISCRETE MATHEMATICS LETTERS, 2023, 11 : 61 - 67
  • [33] Power System Islanding Based on Slow Coherency
    Kalyani, M.
    Kumar, Kalyan
    2018 20TH NATIONAL POWER SYSTEMS CONFERENCE (NPSC), 2018,
  • [34] An Adaptive General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix (AG4U)
    Bhattacharya, Avik
    Singh, Gulab
    Manickam, Surendar
    Yamaguchi, Yoshio
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (10) : 2110 - 2114
  • [35] New Theory of Extended Coherency for Power System Based on method of Coherency in Differential Geometry
    Du, Xizhou
    Zhang, Yang
    Li, Qionglin
    Xiong, Yi
    Yu, Xiaopeng
    Zhang, Xiaodong
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [36] ESPRIT-BASED SCATTERING POWER DECOMPOSITION BY USING MODIFIED VOLUME SCATTERING MODEL
    Yamada, H.
    Komaya, R.
    Yamaguchi, Y.
    Sato, R.
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 3255 - 3258
  • [37] POWER WAVES AND SCATTERING MATRIX
    KUROKAWA, K
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 1965, MT13 (02) : 194 - &
  • [38] A hierarchical extension of a multiple-component scattering model with unitary transformation of the coherency matrix
    Wang, Yu
    Yu, Weidong
    Wang, Chunle
    REMOTE SENSING LETTERS, 2019, 10 (11) : 1047 - 1056
  • [39] GENERAL POLARIMETRIC MODEL-BASED DECOMPOSITION FOR COHERENCY MATRIX
    Chen, Si-Wei
    Sato, Motoyuki
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 99 - 102
  • [40] Enhanced target characterization and improved scattering power decompositions using the optimized coherency matrix from full-polarimetric SAR data
    Bhattacharya, A.
    Surendar, M.
    REMOTE SENSING LETTERS, 2016, 7 (11) : 1073 - 1082