首页 >  2002, Vol. 6, Issue (6) : 501-506

摘要

全文摘要次数: 2960 全文下载次数: 202
引用本文:

DOI:

10.11834/jrs.20060618

收稿日期:

2002-05-01

修改日期:

2002-06-01

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小波域多时相干涉SAR数据融合
摘要:

大气因素和高斯白噪声对由星载干涉SAR系统获取的干涉图相位有很大的影响,可能会极大地降低结果DEM的精度,提出了一种对多时相干涉SAR数据生成的独立DEM进行权重融合的方法,该算法在小波域当中估计了大气和高斯噪声的误差功率,并对多时相DEM进行权重融合。用河北省尚义县地区的ERS-1和ERS-2数据的研究表明,此算法可以很好地提高由干涉SAR获取的DEM的精度。

Multi-temporal Interferometric SAR Data Fusion Based on Wavelet
Abstract:

Interferogram images derived from spaceborne synthetic aperture radar system exhibit artifacts due to noise and atmospheric effects,which may mitigate the accuracy of the result DEM. In this paper,we present a method to combine uncorrelated topographic profiles generated by multi-temporal interferometric SAR data,this weighted combination is carried out in wavelet domain, which estimates the distortion power,of noise and atmosphere and improves the accuracy of final DEM with interferofram images of Shangyi area, Hebei province as test data.

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