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Using Concatenated Steganography for Visual Analysis in GIS SOA



Geographic Information Systems (GIS) perform the computational processing of geographic data and store the geometry and the attributes of data that are geo-referenced, that is, situated on the earth surface and represented in a cartographic projection. Integral part of GIS functionality is an opportunity to make a complex analysis, which is able to integrate geo-referenced imagery as data layers or themes and link them to other data sets producing geospatial renderings of data. Based on Service-Oriented Architecture (SOA) GIS expose its capabilities as Web services with purpose to create a flexible and extensible GIS that can quickly respond to changing and future organizational needs. In that case client’s application sends specially formed requests to the GIS services and ensures visual processing of responses. But the drawback is the count of such requests, because imaginary data and data needed for analysis are received sequentially (not simultaneously). The purpose of this paper is to present the solution of decreasing the amount of geo-requests, enabling extensions to existing GIS visual analysis tools and bringing into GIS SOA synchronization mechanism designed on principles of concatenated steganography. This ensures that various geospatial data streams will be kept, transmitted and analytically processed together using concatenated steganography, strongly taking into account mutual relations between these streams.

Frequenza di pubblicazione:
2 volte all'anno
Argomenti della rivista:
Computer Sciences, Artificial Intelligence, Information Technology, Project Management, Software Development