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Conference paper

Fast Matrix Based Computation of Eigenvalues in PolSAR Data

From

Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

We describe calculation of eigenvalues of 2×2 and 3×3 Hermitian matrices as used in the analysis of multilook polarimetric SAR data. The eigenvalues are calculated as the roots of quadratic or cubic equations. The methods are well suited for fast matrix oriented computer implementation and we obtain speed-ups over calculations based on a built-in eigenproblem solver in for-loops over rows and columns in an image by a factor of 350 (for dual pol) and 175 (for full/quad pol).

Language: English
Publisher: IEEE
Year: 2021
Pages: 507-510
Proceedings: 2021 IEEE International Geoscience and Remote Sensing Symposium
ISBN: 1665403683 , 1665403691 , 9781665403689 , 9781665403696 , 1665447621 and 9781665447621
ISSN: 21537003 and 21536996
Types: Conference paper
DOI: 10.1109/IGARSS47720.2021.9554658
ORCIDs: Nielsen, Allan Aasbjerg

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