Best Paper Award
International Journal of Image and Data Fusion
This Best Paper Award is presented by the International Journal of Image and Data Fusion (IJIDF) once every two years to recognize outstanding papers published within the journal. The award consists of a certificate endorsed by both the Editor-in-Chief and Taylor & Francis, along with a prize of £500. The winner will be selected at the sole discretion of the Award Committee, which comprises of the Editor-in-Chief and his Editorial Board.
This award encourages researchers and experts in this field to share original research through the International Journal of Image and Data Fusion. Candidates for the award will need to adhere to the requirements of good science, ethics and best practice.
The selection criteria is based on:
- Quality and thoroughness of methods, tests and applications
- Contribution to theory, methods and/or application
- Impact of research in the image and data fusion community
We would like to take this opportunity to congratulate the winners of the award and to encourage authors to submit their papers to the International Journal of Image and Data Fusion for consideration.
You can enjoy free access to these articles via this page. Simply click on the articles below to read the winning papers.
|Winning Year||Author(s)||Article Title||Volume||Issue|
|2018-2019||Jiaojiao Tian & Jean Dezert||Fusion of multispectral imagery and DSMs for building change detection using belief functions and reliabilities||10||1|
|2016-2017||J. Senthilnath et al.||A novel hierarchical clustering technique based on splitting and merging||7||1|
|2014 - 2015||Boris Jutzi, Martin Weinmann & Jochen Meidow||Weighted data fusion for UAV-borne 3D mapping with camera and line laser scanner||5||3|
|2012-2013||Prashanth Reddy Marpu et al.||Classification of hyperspectral data using extended attribute profiles based on supervised and unsupervised feature extraction techniques||3||3|
|2010-2011||Didier G. Leibovici & Mike Jackson||Multi-scale integration for spatio-temporal ecoregioning delineation||2||2|