Open AccessPolarimetric‐basis transformation for land classification in PolInSAR
Author(s) -
Shang Fang,
Hirose A.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2012.3376
Subject(s) - polarimetry , basis (linear algebra) , transformation (genetics) , scattering , computer science , remote sensing , transformation matrix , phase (matter) , variety (cybernetics) , principal component analysis , matrix (chemical analysis) , pattern recognition (psychology) , artificial intelligence , geology , mathematics , physics , optics , materials science , geometry , biochemistry , chemistry , kinematics , classical mechanics , quantum mechanics , composite material , gene
Based on the polarimetric‐basis transformation principle, a method for utilisation of the scattering mechanism vectors for land classification is proposed. The experimental results show that both the amplitude and the phase components of the vectors can be used for land classification. By implementing different linear transformation processes of the scattering matrix, a variety of areas can be extracted separately.