Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and efficiency. However, parallel computing technology provides an effective way to solve this problem. In this paper, based on the analysis of parallel computing system, the architecture of photogrammetric parallel processing system which is based on cluster computing is studied, and several key techniques such as distributed storage of massive remotely sensed data, design of parallel algorithms and load balancing are discussed.
Published in:
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
(Volume:1
)
Date of Conference: 4-5 July 2009