Multibaseline InSAR DEM reconstruction: The wavelet approach

被引：176

作者：

Ferretti, A ^{[1
]}

Prati, C ^{[1
]}

Rocca, F ^{[1
]}

机构：

[1] Politecn Milan, Dipartimento Elett & Informaz, I-20133 Milan, Italy

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1999年 / 37卷 / 02期

关键词：

data fusion; digital elevation model reconstruction; interferometric synthetic aperture radar; reconstruction; wavelet transform;

D O I：

10.1109/36.752187

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Multibaseline synthetic aperture radar (SAR) interferometry can be exploited successfully for high-quality digital elevation model (DEM) reconstruction, provided that both noise and atmospheric effects are taken into account. A weighted combination of many uncorrelated topographic profiles strongly reduces the impact of phase artifacts on the final DEM, The key issue if weights selection. Here a wavelet domain approach is proposed. Taking advantage of the particular frequency trend of the atmospheric distortion, it is possible to estimate, directly from the data, noise and atmospheric distortion power for each interferogram. The available DEM's are then combined by means of a weighted average, carried out in the wavelet domain. This new approach provides a valuable tool not only for DEM's combination (improving accuracy), but for data evaluation and selection, since the phase error power is estimated for each interferogram. Results obtained using simulated and real data (ERS-1/2 TANDEM data of a test area around the Etna volcano, Sicily) are presented.

引用

页码：705 / 715

页数：11

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