Research on parallel computation based remote sensing image processing for natural disaster monitoring and assessment

The serious natural disasters such as flood and earthquake break out in a short time. Remote sensing such as airborne SAR can acquire the image of the disaster area quickly. But the airborne SAR remote sensing image has the property of large volume data, so the processing needs very large computer memory and strong computation ability. In this paper, based on the analysis of the SAR image processing procedure, we study the SAR image processing method using computer parallel computation technology, which is based on the parallel computer cluster operation and the large virtual computer memory sharing technology. We also introduce the application of the SAR image parallel processing system in the disaster monitor and assessment to validate the high efficiency of the system and the feasibility of our research.