Service-Oriented Parallel Remote Sensing Image Fusion on the Grid

Grid computing is a resources sharing environment on the Web, and resources dynamic changing is an essential characteristic of the Grid. Grid computing is being more attractive environment for parallel image processing on Web because of the high bandwidth and plentiful shared computing resources available on the Grid. In the paper, a service-oriented architecture for parallel remote sensing image on Grid is presented firstly, and different kinds of services of the architecture are introduced briefly. There are seven components for the architecture, which can trace and record resources dynamic changing on the Grid and provide an environment for parallel remote sensing image processing. Then, a parallel remote sensing image fusion algorithm on the architecture is presented in detail. The algorithm generates optimal parallel execution plan adaptively for the parallel image fusion according to the resource changes on the Grid. The equations for evaluating the cost of different execution plan are also presented. At last, a testing Grid environment is setup and the partial result image of the image fusion of a TM image and a Spot image is illustrated.