This work investigates the parallel implementation of polarimetric synthetic aperture radar (POLSAR) data processing chain. Such processing can be computationally expensive when large data sets are processed. However, the processing steps can be largely implemented in a high performance computing (HPC) environ- ment. In this work, we studied different aspects of the computations involved in processing the POLSAR data and developed an efficient parallel scheme to achieve near-real time performance. The algorithm is implemented using message parsing interface (MPI) framework in this work, but it can be easily adapted for other parallel architectures such as general purpose graphics processing units (GPGPUs).
Conference Committee Involvement (4)
High-Performance Computing in Geoscience and Remote Sensing
13 September 2018 | Berlin, Germany
High-Performance Computing in Geoscience and Remote Sensing
12 September 2017 | Warsaw, Poland
High-Performance Computing in Geoscience and Remote Sensing
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