Atmospheric correction of dual-baseline InSAR based on wavelet correlation analysis
This paper proposes a lightweight method based on wavelet correlation analysis to detect topographic error phases between dual-baseline synthetic aperture radar interferometry(InSAR)interferograms,thereby indirectly correcting atmospheric effects,which restrict the accuracy of topographic mapping in the repeat-pass mode of InSAR.This method overcomes the limitations of existing atmospheric correction methods,which rely on external water vapor data or have large data requirements.Before correcting atmospheric effects,to ensure the uniqueness of the topographic error phase,it is necessary to remove any other identical or similar phase components.The effectiveness of the algorithm is verified in typical experimental areas with different climatic and terrain conditions,namely the Los Angeles area in coastal regions and the central region of Hunan Province,utilizing ALOS-1 PALSAR data.Experimental results demonstrate that the proposed algorithm can stably correct atmospheric effects in regions with drastic changes in coastal water vapor content and rugged terrain inland,resulting in a maximum improvement of 53.4％and 45.0％in digital elevation model(DEM)accuracy,respectively.Specifically,in the coastal Los Angeles experimental area,compared with the atmospheric correction method based on GACOS products,the accuracy is improved by 49.7％.
interferometric synthetic aperture radaratmospheric correctionwavelet transformcorrelation analysissplit spectrumdigital elevation model
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