A Web Services Composition with Bpel and Satellite Image Processing for Urban and River Bed Changes Assessment

The processing of satellite images can be a demanding task in terms of computer power. Most user workstations are common ones, with no special hardware or license for a commercial image processing tool. Web Services are applications that are made available from a business’s Web server for remotely situated web clients. They can be a suitable solution to the satellite image processing domain, by deploying a rich set of functionality that runs on powerful servers to web clients that run on ordinary computers. In this paper, we introduce a Java Web Services composition for satellite image processing. Business Process Execution Language (BPEL) is used to orchestrate the Web Services composition. Among the image processing algorithms we mention enhance contrast, several filters for image correction and supervised image classification. All these are used to detect urban and river bed areas in two satellite images, taken in 1970 and 2000, and to highlight the urban area growth and the river bed changes over a period of 30 years. A client application was also developed, in order to show the composition functionality.