Title :
Polarization decomposition with S and T matrix of a PolSAR image
Author :
Wang, Haijiang ; Huang, Qihong ; Pi, Yiming
Author_Institution :
Electr. Eng. Dept., Chengdu Univ. of Inf. Technol., Chengdu, China
Abstract :
Polarization decomposition is an important approach for polarimetric SAR image classification. In this paper, decomposition methods with different data format are discussed. Especially, A new decomposition method which is Krogagger decomposition with T matrix is proposed. Simulation results show that decompositions with T matrix have less speckle.
Keywords :
S-matrix theory; image classification; matrix decomposition; radar imaging; radar polarimetry; synthetic aperture radar; Krogagger decomposition method; S matrix; T matrix; polarimetric SAR image classification; polarization decomposition; Detectors; Filters; Histograms; Image edge detection; Image segmentation; Labeling; Matrix decomposition; Neoplasms; Polarization; Smoothing methods;
Conference_Titel :
Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
Conference_Location :
Milpitas, CA
Print_ISBN :
978-1-4244-4886-9
Electronic_ISBN :
978-1-4244-4888-3
DOI :
10.1109/ICCCAS.2009.5250488