A concept of a new software architecture for astronomical image processing is presented. Current approaches of astronomical data extraction are explained: photometry, astrometry and high-resolution imaging. The methods seem incommensurate with each other and suffer from systematic errors caused by known issues. Hints are given, where and how to consolidate these algorithms into a more sophisticated approach to improve data retrieval from images. A detailed discussion of user experience and possible expectations is presented. The analysis yielded current astronomical image processing software based on a shell oriented task collection designed and implemented since the 80ies. From a historical perspective, requirements for any next generation software design can be identified as backward compatibility, platform independence, extensibility, a more intuitive user experience, documentation issues, and long-term reliability. A smooth software transition is proposed. Object-oriented and XML driven approaches may help to combine the existing software packages and future extensions within a common user interface. A unified, formal task description language for image processing is proposed to support generality.

Complete library entry:

Bauer, Thilo. Astroinformatics - A Study about Constraints and Requirements for Next Generation Astronomical Image Processing. Proceedings of the IADIS Multiconference on Computer Science and Information Systems, Amsterdam, 22.-27. July 2008, p. 83-90, IADIS Press, ISBN 978-972-8924-63-8

State: Published. 

Download PDF | SAO/NASA ADS Service