Positive-semidefinite Based Target Decomposition Using Optimal Model-matching with Polarization Similarity

Fan Qing-hui; Lu Hong-xi; Bao Zheng; Xiao Chun-bao

doi:10.11999/JEIT141468

Volume 37 Issue 8

Aug. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(8): 1821-1827

Fan Qing-hui, Lu Hong-xi, Bao Zheng, Xiao Chun-bao. Positive-semidefinite Based Target Decomposition Using Optimal Model-matching with Polarization Similarity[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1821-1827. doi: 10.11999/JEIT141468

Citation:

Fan Qing-hui, Lu Hong-xi, Bao Zheng, Xiao Chun-bao. Positive-semidefinite Based Target Decomposition Using Optimal Model-matching with Polarization Similarity[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1821-1827. doi: 10.11999/JEIT141468

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Positive-semidefinite Based Target Decomposition Using Optimal Model-matching with Polarization Similarity

doi: 10.11999/JEIT141468

Received Date: 2014-11-24
Rev Recd Date: 2015-04-24
Publish Date: 2015-08-19

Abstract

Abstract

Target decomposition is an important tool to realize target classification, detection and recognition applications with Polarimetric SAR (PolSAR). However, the traditional method with priority of volume scattering component extraction seriously performs overestimation in the volume scattering energy or underestimation in the dihedral scattering energy. In this paper, by introducing polarimetric similarity measure, data-driven model- matching for basic scattering mechanism is proposed. On this basis, the priority of scattering mechanisms energy extraction is determined with the similarity measure. Based on the non-negative constraint of energy, all the orders of residual matrix are reextracted for the final energy contribution of the dihedral scattering, volume scattering, and surface scattering mechanism. The processing results of real data and their comparison with the optical image results show that the proposal is better than traditional methods for the accurate extracttion of the basic scattering characteristics in the targets region.
- Polarimetric SAR (PolSAR),
- Target decomposition,
- Polarization similarity,
- Optimal model matching

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References(17)

References

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