Special Issue "Recent Advances in Neural Networks for Remote Sensing"
Deadline for manuscript submissions: closed (31 March 2019).
Prof. Fabio Del Frate
University of Rome “Tor Vergata”, Department of Civil Engineering and Computer Science Engineering, Via del Politecnico, 1 – 00133 Rome, Italy
Website | E-Mail
Interests: applications of machine learning to remote sensing; image processing; retrieval of atmospheric variables from satellite data; SAR applications; hyperspectral data processing
Dr. Javier Plaza Miguel
The amount of data being produced by remote-sensing techniques is increasing exponentially. This is, not only due to the continuous investments of space missions, but also to the breakthroughs caused by devices used on Unmanned Aerial Vehicles. Moreover, additional data enhancement is provided by the latest technological advances in the fields of sensors, in terms of storage possibilities and transfer capabilities. In this scenario, imagery analytics and interpretation—which are often still performed by human experts, require an increase in the level of automation in the process of value-added generation from data. In such a context, artificial intelligence based on neural networks, with the inherent capability of identifying nonlinear relationships among data, may have a leading role. Indeed, neural networks can be efficient for different tasks, not only for statistical regressions or image classification, but also for image segmentation, feature extraction, data fusion or dimensionality reduction. The goal of this Special Issue is to collect the latest and most advanced ideas regarding the implementation of neural networks algorithms for next-generation geospatial applications. In addition to contributions addressing issues regarding conceptual models, such as deep learning or neuromorphic computing, papers regarding new results in the migration of neural networks in high-performing computing environments, or for intelligent onboard processing, will be welcomed.
Prof. Fabio Del Frate
Prof. Javier Plaza Miguel
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Neural Networks
- High Performance Computing
- Automatic Onboard Processing
- Automatic Image Processing
- Artificial Intelligence for Remote Sensing
- Data Science
- Unmanned Aerial Vehicles
- Deep Learning