Novel Approach for InSAR Sensors Imaging via Gradient-Based Algorithm for the Sparse Signal Reconstruction

Abstract

It is well known that the interferometric synthetic aperture radar (InSAR) can be used to realize the reconstruction of digital elevation models. In common InSAR imaging, the signal is considered complete and accurate enough to generate high-quality images. However, only the sparse aperture measurements are available in the actual imaging process, which bring great challenges to the traditional InSAR imaging algorithms. In this paper, a new method for the 3-D InSAR imaging with sparse aperture is proposed. A gradient-based algorithm is adopted to obtain the high-precision reconstructed signal received from each sparse aperture antenna. Then, the 3-D geometric reconstruction of the target can be realized through the interferometric processing on the master and slave images. Finally, the experimental results are given to substantiate the effectiveness of the proposed algorithm.