A Novel Statistical Texture Feature for SAR Building Damage Assessment in Different Polarization Modes

Texture features are important characteristics in distinguishing collapsed buildings and intact buildings. However, texture features currently used in synthetic aperture radar (SAR) building damage assessment are extracted following the methods of optical images directly, which do not consider the s...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2020, Vol.13, p.154-165
Hauptverfasser:	Chen, Qihao, Yang, Hui, Li, Linlin, Liu, Xiuguo
Format:	Artikel
Sprache:	eng
Schlagworte:	Backscatter Building damage assessment Building failures Buildings Covariance matrices Damage assessment Data Dual polarization radar Feature extraction G<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> ^{0}</tex-math> </inline-formula> distribution Histograms Polarization Radar imaging Radar polarimetry Radarsat SAR (radar) Scattering Statistics Synthetic aperture radar synthetic aperture radar (SAR) Texture texture feature Urban areas Variance analysis
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