The U. V. Helava Award

Best Paper 2020


The U.V. Helava Award, sponsored by Elsevier B.V. and Leica Geosystems AG, is a prestigious ISPRS Award, which was established in 1998 to encourage and stimulate submission of high quality scientific papers by individual authors or groups to the ISPRS Journal of Photogrammetry and Remote Sensing, 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, published in the ISPRS Journal during the four-year period. The Award consists of a monetary grant of SFr. 10,000 and a plaque. 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 is selected.

The Jury appointed by the ISPRS Council evaluated papers from volumes 159-170 (2020) and announces its decision for the Best Paper. The winner of the 2020 Best Paper Award is:

 

"Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion".

by Andrea Meraner a, Patrick Ebel b, Xiao Xiang Zhu b,c and Michael Schmitt c,d

a EUMETSAT, Darmstadt, Germany
b Photogrammetry Signal Processing in Earth Observation, Technical University of Munich, Germany
c Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany
d Department of Geoinformatics, Munich University of Applied Sciences, Germany

 

Andrea Meraner Patrick Ebel Xiao Xiang Zhu Michael Schmitt
Andrea Meraner Patrick Ebel Xiao Xiang Zhu Michael Schmitt

 

published in volume 166, August 2020, pp. 333-346, https://doi.org/10.1016/j.isprsjprs.2020.05.013

 

Jury's rationale for the paper selection

This paper developed a cloud-removal model based on a deep residual neural network using SAR data and fusion of SAR and optical data. The methodology was tested by using the data across the globe and the seasons. The Jury thinks that the work is truly innovative. The developed methodology tackled a common problem in optical remote sensing. Therefore, it very deserves the best paper award for 2020.

 

On behalf 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 thorough evaluations.

 

Qihao Weng, Ph.D., IEEE/AAAS/ASPRS Fellow
Editor-in-Chief
ISPRS Journal of Photogrammetry and Remote Sensing, Indiana State University, U.S.A.
E-mail address:
qweng@indstate.edu

 

 

 
Nice 2022
XXIVth ISPRS Congress:

June 6-11, 2022
Nice, FRANCE
 
 
 
 
 
Logo

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org