Scattering component consistency based parameter for polarimetric SAR image classification

JIAO Zhihao; YANG Jian; YE Chunmao; SONG Jianshe

doi:10.16511/j.cnki.qhdxxb.2016.25.033

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Journal of Tsinghua University(Science and Technology) ›› 2016, Vol. 56 ›› Issue (8) : 908-912. DOI: 10.16511/j.cnki.qhdxxb.2016.25.033

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Scattering component consistency based parameter for polarimetric SAR image classification

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Abstract

The scattering entropy accurately describes the randomness of a scattering medium, but analyses do not use the relationships between the three eigenvectors representing the different coherent scatterings. More polarization information is extracted by a parameter describing the consistency of the scattering components to classify of polarimetric SAR images. The parameter contains information on the eigenvalue distributions and similarities between the coherent scattering components and represents the closeness of the scattering to simplex coherent scattering. The AIRSAR L-band polarimetric image of San Francisco is segmented using this parameter instead of the scattering entropy and then adjusted by a Wishart classifier. Tests demonstrate the effectiveness of this parameter to improve the classification and object details.

Key words

synthetic aperture radar / radar polarimetry / feature extraction / consistency parameter / image classification

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JIAO Zhihao, YANG Jian, YE Chunmao, SONG Jianshe. Scattering component consistency based parameter for polarimetric SAR image classification[J]. Journal of Tsinghua University(Science and Technology). 2016, 56(8): 908-912 https://doi.org/10.16511/j.cnki.qhdxxb.2016.25.033

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