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The journal Remote Sensing (MDPI) (ISSN 2072-4292, IF: 3.406 (Journal Citation Reports)) is currently running a Special Issue entitled "Image Optimization in Remote Sensing".
The submission deadline is 30 September 2019. You may send your manuscript now or up until the deadline. Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract or tentative title to the Editorial Office in advance ([email protected]).
This special issue concerns the implementation and development of optimization techniques able to find the best solutions for processing remote sensing images. In general, in this special issue the latest advances and trends of optimization algorithms for remote sensing image processing will be presented, addressing original developments, new applications, and practical solutions to open questions. The aim is to increase the data and knowledge exchange between the optimization and remote sensing communities and allow experts from other areas to understand the inherent problematic of remote sensing. Moreover, authors are encouraged to present hybrid methods that might include the use of machine learning approaches.
The topics for this Special Issue include, but are not limited to, the following:
3D radar and 3D sonar imaging
Sonar image processing, data reduction, feature extraction, and image understanding
Interferometric methods
Sparse image reconstruction
Hyperspectral images
Object extraction and accuracy evaluation in 3D reconstruction
Satellite images
Surveillance systems
Multi-sensor data fusion
Image segmentation
Multilevel thresholding
Clustering
Metaheuristic Algorithms
Classical optimization techniques
Hybrid optimization mechanisms
Machine learning
Fuzzy logic approaches
Neural computing
Evolutionary computation
Multi-objective optimization
Many-objective optimization
Hyper-heuristics
Heuristics
Swarm algorithms
Feature selection
Remote Sensing is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Open access is supported by the authors and their institutes. You may be entitled to a discount if you have previously received a discount code or if your institute is participating in the MDPI Institutional Open Access Program (IOAP), for more information see: http://www.mdpi.com/about/ioap.
For further details on the submission process, please see the instructions for authors at the journal website (http://www.mdpi.com/journal/remotesensing/instructions).
We look forward to hearing from you.
Guest Editors
Dr. Diego Oliva
Dr. Salvador Hinojosa
Dr. Mohamed Abd Elaziz
Dr. Ahmed A. Ewees
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