A mechanism of remote sensing image for parallel processing base on splitting blocks
Bao Wei-zheng · Journal of Zhejiang University(Science Edition) · 2012
Large-scale parallel computing under cluster architecture is the basis of HPC(high performance computing).To enhance the efficiency of image processing for remote sensing depends on the application of technology of parallel computing.Towards the characteristic about the scarce quantity of objects on some images,this paper proposed an algorithm model for task allocating and image processing under distributed computing environment.Firstly,we split the area of image which contains the objects using quad-tree policy,and dispatched the data to computing node by using the idea on dynamic load balance to perform this computing.Experiment shows that the strategy on task allocation can improve the overall computing performance effectively.