Name
Abstract | ||
|---|---|---|
Synthetic Aperture Radar (SAR) has been widely used in airborne remote sensing and satellite ocean observation fields to reduce the affect of weather condition and sun illumination. As technology developed, swath and resolution requirements are increased in terrain, which result in a huge increase in echo data and simulated time[1]. With the development of graphics processing unit (GPU), it can reduce simulated time effectively. In order to simulate the coherent integration, atomic operation is always used in GPU, which has a bad influence to simulated time. To optimize simulated time, in this article, we put forward three GPU optimistic strategies for atomic-free SAR raw data simulation. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729162 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
SAR, conflict, GPU, atomic | Kernel (linear algebra),Data modeling,Computer vision,Radar imaging,Satellite,Synthetic aperture radar,Computer science,Terrain,Remote sensing,Inverse synthetic aperture radar,Artificial intelligence,Graphics processing unit | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
4 | 5 | |