Multibaseline InSAR DEM reconstruction: The wavelet approach
Multibaseline InSAR DEM reconstruction: The wavelet approach
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DOI：
10.1109/36.752187
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发表时间：
1999-03-01
影响因子：
8.2
通讯作者：
Rocca, F
中科院分区：
文献类型：
--
作者：
Ferretti, A;Prati, C;Rocca, F
多基线合成孔径雷达（SAR）干涉测量可以成功地用于高质量的数字高程模型（DEM）重建，只要同时考虑噪声和大气的影响。将许多不相关的地形剖面加权组合，可以大大降低相位伪影对最终DEM的影响。在这里，小波域的方法提出。利用大气失真的特定频率趋势，可以直接从数据估计每个干涉图的噪声和大气失真功率。然后，通过在小波域中进行加权平均来组合可用的DEM。这种新的方法提供了一个有价值的工具，不仅为DEM的组合（提高精度），但数据的评估和选择，因为相位误差功率估计为每个干涉图。使用模拟和真实的数据（ERS-1/2 TANDEM数据周围的埃特纳火山，西西里测试区）获得的结果。
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.