Fast Matrix Inversion and Determinant Computation for Polarimetric Synthetic Aperture Radar

Autor:	Coelho, D. F. G., Cintra, R. J., Frery, A. C., Dimitrov, V. S.
Rok vydání:	2018
Předmět:	Computer Science - Numerical Analysis Computer Science - Data Structures and Algorithms Electrical Engineering and Systems Science - Signal Processing Mathematics - Numerical Analysis Statistics - Computation
Zdroj:	Computers and Geosciences, no. 119 (2018), pages 109-114
Druh dokumentu:	Working Paper
DOI:	10.1016/j.cageo.2018.07.002
Popis:	This paper introduces a fast algorithm for simultaneous inversion and determinant computation of small sized matrices in the context of fully Polarimetric Synthetic Aperture Radar (PolSAR) image processing and analysis. The proposed fast algorithm is based on the computation of the adjoint matrix and the symmetry of the input matrix. The algorithm is implemented in a general purpose graphical processing unit (GPGPU) and compared to the usual approach based on Cholesky factorization. The assessment with simulated observations and data from an actual PolSAR sensor show a speedup factor of about two when compared to the usual Cholesky factorization. Moreover, the expressions provided here can be implemented in any platform. Comment: 7 pages, 1 figure
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1807.08084 Zobrazit plný text záznamu View this record from Arxiv