Best Paper 2003
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 second U.V. Helava Award will be presented at the 20th ISPRS Congress, Istanbul, 12-23 July 2004. The five-member jury
appointed by the ISPRS Council evaluated the 32 papers of Vol. 58 (2003) and announced its decision for the Best Paper.
The winner of the 2003 Best Paper is:
Extraction, modelling, and use of linear features
for restitution of airborne hyperspectral imagery
Changno Lee1, James S. Bethel2
(1)Spatial Imagery Information Research Team, ETRI, 161 Gajeong-dong, Yuseong-gu, Daejeon, 305-350, South Korea
(2)Geomatic Engineering, 1284 Civil Engineering Building, Purdue University, West Lafayette, IN, USA
Jury's rationale for the paper selection
This paper deals with the semi-automated line extraction and incorporation into the orientation process for linear array CCD
cameras, an interesting, important and very relevant topic, considering the current development of digital aerial cameras. The authors use
up-to-date techniques for trajectory modelling, line feature extraction and integration into the geometric sensor model and provide convincing
experimental tests and a transparent analysis of the results. The practical value of this research increases by the use of GPS/INS and reduction
of the needed control line features. The paper is clearly written and both instructive and informative.
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