Abstract
Abstract. 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.
Highlights
The deformation of the Earth’s surface is a process in which the ground changes relative to its original state and is often caused by compression, consolidation, and convexity of the underground loose stratum under internal or external forces
Given the shortcomings of the above methods, this paper aims to improve the PS-interferometric synthetic aperture radar (InSAR) master image three baseline and minimum selection methods for optimization
To verify the applicability of the MITSD method proposed in this paper, the main coal-producing areas in China are selected as the research areas
Summary
The deformation of the Earth’s surface is a process in which the ground changes relative to its original state and is often caused by compression, consolidation, and convexity of the underground loose stratum under internal or external forces. Geodetic technology plays a significant role in human production in real-time and accurate dynamic monitoring of surface deformation. In the 1990s, the main idea of the interferometric synthetic aperture radar (InSAR) was to use the phase difference of the two images to obtain a digital elevation model (DEM), which had the advantages of high resolution, wide-coverage, and high-precision measurement in the regional surface deformation monitoring (Ferretti, Alessandro, Claudio Prati, and Fabio Rocca, 2000), and was increasingly being applied to relevant monitoring studies Limited by the precision of synthetic aperture radar interferometry, scholars have introduced an external DEM or orbital differential to achieve
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