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The Eigenvector-Eigenvalue Identity Applied to Fast Calculation of polSAR Scattering Characterization
- Source :
- Nielsen, A A 2022, ' The eigenvector-eigenvalue identity applied to fast calculation of polSAR scattering characterization ', IEEE Geoscience and Remote Sensing Letters, vol. 19, 4507305, pp. 1-5 . https://doi.org/10.1109/LGRS.2022.3169994
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
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Abstract
- Unlike the original Cloude-van Zyl decomposition of reflection symmetric polSAR data, a recently suggested version of the decomposition for full/quad pol data relies on the Cloude-Pottier mean alpha angle (ᾱ) to characterize the scattering mechanism. ᾱ can be calculated from the eigenvectors of the coherency matrix. By means of the eigenvector-eigenvalue identity (EEI) we can avoid the calculation of the eigenvectors. The EEI finds ᾱ by means of eigenvalues of the 3×3 coherency matrix and its 2×2 minor(s) only and is well suited for fast array based computer implementation. In this paper with focus on computational aspects we demonstrate fast EEI based determination of ᾱ on X-band F-SAR image data over Vejers, Denmark, including a detailed example of calculations and computer code.
Details
- ISSN :
- 15580571 and 1545598X
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- IEEE Geoscience and Remote Sensing Letters
- Accession number :
- edsair.doi.dedup.....115659d70f4b5e6d9ae4761cfc4b7364