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Journal of
Real-Time Image Processing
Special Issue on
Real-Time
Statistical Image and Video Processing
for Remote
Sensing Applications
Scheduled
Publication Time: 2020/2021
Overview
Nowadays, statistical methods are widely used in
different aspects of real-time Remote Sensing (RS) in underwater,
ground-based, aerial and satellite applications. Statistical approaches for
efficient and high performance computing in remote sensing image and video
processing for real-time monitoring and surveillance are now a hot topic of
research. In this special issue, the aim is to cover new advances of
real-time statistical image and video processing methods in which heuristic
approaches and soft computing (e.g., nature/bio-inspired optimization,
neural network (fully heuristic approaches), fuzzy logic and other aspects
of non-statistical artificial intelligence) are not used.
Real-time applications of statistical image and
video processing involve many different challenging problems in acoustic
imaging, optical sensors and passive/active radar imaging. This special
issue is aimed at providing new advances of real-time statistical image and
video processing in applications such as infrared imaging, multi-and
hyper-spectral imaging, SAR images and Video SAR, and spectral videos. We
cordially invite researchers working in these areas to make a contribution
to this special issue.
The topics of interest include:
·
Real-Time RS Image and Video Compression
·
Real-Time RS Image and Video Security
·
Real-Time RS Image and Video Communications with Data Hiding
·
Conceptualization of Real-Time RS Videos
·
Real-Time RS Image Super-resolution
·
Real-Time RS Applications of Detection and Estimation Theory
·
Real-Time RS Image Clustering and Classification
·
Real-Time Object Detection and Tracking in RS Videos
·
Combination of Statistics and Multi-resolution Transforms for
Real-Time RS Image Processing
·
Real-Time Statistical Methods in RS Image and Video Coding
·
Real-Time Statistical RS Image Quality Assessment Techniques
·
Quality and Transmission Standards of RS Images and Videos for
Real-Time Statistical Methods
·
Real-Time RS Image Reconstruction, Retrieval, and Restoration Based
on Statistical Methods
·
Real-Time Sparse Representation and Compressed Sensing Methods for
Videos
·
Real-Time Statistical RS Image Modelling and Data Sampling
Timeline
Submission of manuscript: April 15, 2020
First notification: August 15, 2020
Submission of revised manuscript: October 15, 2020
Final notification: November 15, 2020
Online publication: Upon acceptance and proof check
Print publication: As per the journal publication schedule
Submission
Submitted papers should present original, unpublished work,
relevant to one of the topics of the special issue. Note that there is a
page limit of 12 pages (double column format). The link
https://www.editorialmanager.com/rtip/default.aspx provides the Guide for
Authors. Special issues are reviewed on a “fast track” basis.
Prior to sending full paper submissions, it is highly recommended to query
the appropriateness of submissions by sending a 100-200 word abstract to
the guest editors.
Guest Associate Editors
Mohammad Khosravi
Department of Computer Engineering,
Persian Gulf University, Bushehr, Iran
Email: m.r.khosravi.taut@gmail.com
Pooya Tavallali
Department of Computer Science and Electrical
Engineering,
University of California, Merced, USA
Email: ptavallali@ucmerced.edu
Alireza Jolfaei
Department of Computing,
Macquarie University, Sydney, Australia
Email: alireza.jolfaei@mq.edu.au
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