Deep learning for efficient selection of measurement pixels in multi-temporal InSAR processing

This dataset is an example dataset generated for training the convolutional long short memory network proposed by Tiwari et al. (2021) for measurement pixel selection in MT-InSAR processing. The dataset is generated by processing Sentinel-1 C-band SAR images (frames 79 and 84 of path 48) of the United States east coast from multi-temporal InSAR processing using the WabInSAR software developed by Shirzaei, M (2013). <br> The file ph_im.mat contains time series of interforgrams generated from WabInSAR software v5.3. The dimension is w*h*n, where w=width, h=height and n=number of SAR interferograms <br> The file elpx.mat contains pixel locations in image and list forms for the selected measurement points after the pixel selection step.