Best Paper 1997
The U.V. Helava Award, sponsored by Elsevier Science B.V. and LH
Systems, LLC, is a prestigious new ISPRS Award, which was established
to encourage and stimulate submission of high quality scientific papers by
individual authors or groups to the ISPRS Journal, to promote and
advertise the Journal, and to honour the outstanding contributions of Dr. Uuno
V. Helava to research and development in Photogrammetry and Remote Sensing.
The Award is presented to authors of the best paper, written in English and
published exclusively in the ISPRS Journal during the four-year period from
January of a Congress year, to December of the year prior to the next Congress.
The Award consists of a monetary grant of SFr. 10,000 and a plaque. A
five-member jury, comprising experts of high scientific standing, whose
expertise covers the main topics included in the scope of the Journal, evaluates
the papers. For each year of the four-year evaluation period, the best paper is
selected, and among these four papers, the one to receive the U.V. Helava Award.
The first U.V. Helava Award will be presented at the 19th ISPRS
Congress, Amsterdam, 16-23 July 2000. The five-member jury appointed by the
ISPRS Council evaluated the 28 papers of 1997 and announced its decision for the
Best Paper. The winner of the 1997 Best Paper is:
Automatic Aerotriangulation - Concept, Realization and Results
Liang Tang 1 , Josef Braun 2 , Rasmus Debitsch 2
1 Technical Consulting and Software Development for
Photogrammetry, Remote Sensing and Geoinformatics, Munich
2 Carl Zeiss, Oberkochen
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Liang Tang |
Josef Braun |
Rasmus Debitsch |
Jury's rationale for the paper selection
The paper describes a working commercial system for automated aerial
triangulation (AAT). This topic is very important both theoretically and
practically. The paper covers all aspects of AAT, presents clearly the involved
concepts and their realisation, is well written and organised, and provides
adequate references for further reading. It presents practical results from
extensive tests and shows clearly the advantages of automation and what is
feasible in practice. This work is part of similar recent developments that have
allowed the use of AAT in production with significant impact in the field of
photogrammetry.
In the name of the ISPRS and the U.V. Helava Award jury, I would like to
congratulate the authors for this distinction and thank them for their
contribution. I would also like to thank the sponsors of the Award, and the jury
members for their hard work and thorough evaluation.
Emmanuel P. Baltsavias
Editor-in-Chief, ISPRS Journal of Photogrammetry and Remote Sensing