International Journal of Image and Data Fusion Best Paper Award
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:
- Originality
- Creativity
- 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.
2020-2021 Award Winner
Eric Ariel L. Salas et al., 'Mapping crop types in fragmented arable landscapes using AVIRIS-NG imagery and limited field data', volume 11, issue 1.
Simply click on the articles below to read the winning papers.