首页> 外文期刊>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences >SELECTION OF PERSISTENT SCATTERER INTERFEROMETRIC SYNTHETIC APERTURE RADAR MASTER IMAGE CONSIDERING TEMPORAL BASELINE, SPATIAL BASELINE AND DOPPLER CENTROID FREQUENCY DIFFERENCE
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SELECTION OF PERSISTENT SCATTERER INTERFEROMETRIC SYNTHETIC APERTURE RADAR MASTER IMAGE CONSIDERING TEMPORAL BASELINE, SPATIAL BASELINE AND DOPPLER CENTROID FREQUENCY DIFFERENCE

机译:考虑时间基线,空间基线和多普勒质心差异的持久散射者干涉性合成孔径雷达母图像的选择

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This paper proposed a new algorithm master Image Temporal Spatial baseline, Doppler centroid frequency difference (MITSD) to select the PS-InSAR common master image (CMI), by using the sum of temporal baselines, spatial baselines, and Doppler centroid frequency differences as a reference. The existing persistent scatterer interferometric synthetic aperture radar (PS-InSAR) common master images election method is affected by three baseline factors: temporal baseline, spatial baseline, and Doppler centroid frequency differences, then one single baseline factor in the three baselines being too large or above the baseline threshold will cause the decoherence. This method normalizes the temporal baseline, spatial baseline, and Doppler centroid frequency baseline to the same order of magnitude, and then the results of baseline optimization are summed up as the minimum coherence. Simultaneously,the algorithm in this paper sets each limit the average value of each baseline as a threshold to reduce the influence of a single baseline. The C-band Sentinel-1A single-look complex (SLC) image data (VV-polarization) in the study area was used as experimental data to compare with the MITSD, the current MSTB (minimum sum of three baselines), and CCCM (comprehensive correlation coefficient method). The results showed that (a) the baseline optimization method was more reasonable and reliable in the selection of the master image in PS-InSAR technology; and (b) in this method, the calculation steps were reduced into the calculation process, and the model was more concise than other algorithms.
机译:本文提出了一种新的算法主图像时间空间基线,多普勒质心频率差(MITSD)来选择PS-Insar常见的主图像(CMI),通过使用时间基线,空间基线和多普勒质心差异的总和作为a参考。现有的持久散射散射器干涉合成孔径雷达(PS-INSAR)常见的母版图像选举方法受三个基线因素的影响:时间基线,空间基线和多普勒质心差异,然后是三个基线中的一个单个基线因子太大或太大或高于基线阈值将导致破坏。该方法将时间基线,空间基线和多普勒质心频率基线标准化为相同的数量级,然后将基线优化的结果总结为最小的相干性。同时,本文中的算法设置每个基线的平均值作为阈值,以减少单个基线的影响。研究区域中的C波段哨声-1a单眼复杂(SLC)图像数据(VV极化)用作与MITSD,当前MSTB(三个基线的最小总和)进行比较的实验数据,以及CCCM(综合相关系数法。结果表明,(a)基线优化方法在PS-Insar技术中的主图像中更合理可靠; (b)在该方法中,计算步骤减少到计算过程中,该模型比其他算法更简洁。

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