Urban Area Detection for Polarimetric Synthetic Aperture Radar Image

Author

Chen Zhi-Peng ; Xue Hui-feng

Author_Institution

Coll. of Autom., Northwestern Polytech. Univ., Xian, China

fYear

2013

fDate

21-23 Sept. 2013

Firstpage

1029

Lastpage

1034

Abstract

Polarimetric scattering feature parameters are significant for target interpretation in polarimetric synthetic aperture radar (PolSAR) images. To improve the polarimetric scattering similarity parameters (PSS), an enhanced polarimetric similarity parameter (EPS) is proposed in this paper. Besides emphasizing some scattering mechanisms, this novel parameter improves the contrast between one certain scattering type and other scattering types. Furthermore, by employing the sparsity feature of the enhanced span image, nonnegative matrix factorization (NMF) is modified to realize the urban area detection for PolSAR images. The effectiveness of this proposal is verified by real data experiments.

Keywords

matrix decomposition; object detection; radar imaging; radar polarimetry; synthetic aperture radar; EPS; NMF; PSS; PolSAR images; enhanced polarimetric similarity parameter; enhanced span image; nonnegative matrix factorization; polarimetric scattering feature parameters; polarimetric scattering similarity parameters; polarimetric synthetic aperture radar image; scattering mechanisms; sparsity feature; target interpretation; urban area detection; Coherence; Eigenvalues and eigenfunctions; Feature extraction; Matrix decomposition; Urban areas; Vectors; double-bounce scattering; enhanced polarimetric similarity (EPS); nonnegative matrix factorization (NMF); polarimetric scattering similarity (PSS); polarimetric synthetic aperture radar (PolSAR);

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/IMCCC.2013.229

Filename

6840619