Elevation Reconstruction Combining SAR Intensity and Interferometric Phase Data

Yifan Liu, Jiang Qian, Lu Wang, Yong Wang

Abstract: The interferometry synthetic aperture radar (InSAR) technique can generate the digital elevation model (DEM) using the interferometric phase of two SAR observations. In this study, we propose an elevation reconstruction algorithm based on deep learning without phase unwrapping and phase-to-elevation conversion. We also incorporate the intensity information and interferometric phase to obtain a more accurate DEM. Our results show that the studied network can effectively reconstruct the elevation even in rugged terrains. Comparative results show that a better DEM can be reconstructed with the inclusion of the intensity data.