Differential SAR interferometry (DInSAR) is an effective remote sensing technique for determining land surface deformation and displacement. The earlier limitations of this technique were the loss of coherence and the presence of atmospheric noise. For this reason, advanced DInSAR techniques, such as Persistent scatterer InSAR (PS-InSAR) and Short Baseline InSAR (SB-InSAR), have been proposed to overcome these limitations by exploiting multiple interferograms. The region studied in this work is the city of Al Hoceima located in Morocco. This region is characterized by dynamic seismic activity that induced several earthquakes between May 27, 2015, and April 27, 2016, where several magnitudes ranging from 3.9 to 6.3 Mw (on 01/25/2016) were measured. 19 Sentinel-1 Single Look Complex (SLC) images of this region of Al Hoceima were exploited in this work, and a three-pass DInSAR approach in SB-InSAR was used to correct topographic errors when generating velocity maps. The analysis of United States Geological Survey (USGS) seismic data showed an increase of 1 magnitude (Mw)/day at a constant rate over time in the region. The effects of the disaster on the region were shown by a rapid rate of ground subsidence velocity at a rate of more than -23 cm/year in the year of observation.
Phase extraction in differential synthetic aperture radar (SAR) interferometry (DInSAR) is an important tool used for detecting subcentimeter-level change in ground deformation. The evaluated phase map processing is conducted via two important and successive steps: phase denoising and phase unwrapping. We attack the first step and propose the performance of discrete Riesz wavelets transform to reduce the residual speckle noise from the generated DinSAR phase map. The performance of the proposed method is appraised using three important criteria such as peak-to-signal-noise ratio (PSNR), the quality index Q, and the edge preservation index. The obtained metric values reveal that this technique can improve the PSNR and Q in comparison with other famous techniques. Finally, we apply the algorithm to denoise a real DinSAR phase map generated with sentinel application platform software using three SAR data of the Napa city in California.
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