The increments of high-resolution remote sensing data about Digital Earth and the distributed data among heterogeneous
remote sites have brought challenges to processing remote sensing data effectively. Traditional models of distributed
computing are inadequate to support such complex applications. Agent technology provides a new method for
understanding the features of distributed system and solving distributed application problems. This paper proposes a
model for distributed remote sensing data processing based on agent grid. This model makes use of grid to discover,
compose, utilize and deploy agents, process distributed image data, and image-processing algorithms. "Agents Group"
mode is used in the model to manage all the agents distributed in the grid, which consists of one or more agents to
accomplish automatic and dynamic configuration of distributed image data resources and to efficiently support ondemand
image processing in distributed environment. The model, framework and implementation of prototype are
reported in this paper.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.