‘Computer Vision for Remote Sensing’ Special Issue in CVIU – Deadline Extension

=Special Issue in CVIU ‘Computer Vision for Remote Sensing’=
Extended Submission deadline: October 1st, 2018

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Dear Colleagues,

We are very happy to invite you at the Special Issue entitled “Computer Vision for Remote Sensing” that we organize in the Computer Vision and Image Understanding Journal. (ISSN: 1077-3142, IF: 2.498,https://www.journals.elsevier.com/computer-vision-and-image-understanding/)

This special issue aims at showcasing the latest advances and trends in computer vision and machine learning algorithms for remote sensing data exploitation. Its scope is interdisciplinary and seeks collaborative contributions from academia and industrial experts in the areas of geoscience and remote sensing, signal processing, computer vision, machine learning and data science.

For further reading, please follow the link to the Special Issue:
https://www.journals.elsevier.com/computer-vision-and-image-understanding/call-for-papers/special-issue-on-computer-vision-for-remote-sensing

The submission website is already open and you can send your manuscript until 1st October 2018. For details about the submission process, please see the instructions for authors: https://www.elsevier.com/authors/journal-authors and please select “VSI:RSensing” as article type name when you submit your papers.

We hope this Special Issue is of interest to you and look forward to hearing from you.

Best regards,

Dr. Vakalopoulou Maria, Junior Lead Editor, Centre de Vision Numerique, CentraleSupelec, Universite Paris-Saclay. Email: maria.vakalopoulou@centralesupelec.fr
Dr. Nathan Jacobs, Department of Computer Science, University of Kentucky. Email: jacobs@cs.uky.edu
Dr. Karantzalos Konstantinos, Remote Sensing Lab, National Technical University of Athens. Email: karank@central.ntua.gr
Dr. Tuia Devis, Laboratory of Geo-information Science and Remote Sensing, Wageningen University and Research. Email: devis.tuia@wur.nl
Dr. Zhu Xiaoxiang, Remote Sensing Technology Institute, DLR & Signal Processing in Earth Observation, Technical University of Munich. Email: xiao.zhu@dlr.de

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