Special Issue "The Future of Remote Sensing: Harnessing the Data Revolution"
Deadline for manuscript submissions: 15 February 2022.
The rapid advancement and proliferation of remote sensing technology has led to widespread recognition of its potential to improve the efficiency, reliability, and safety of inspection and monitoring.
The progress of space agencies and research institutes, the advancements in electronics, signal and image processing and computer science, the increasing of number and sensors’ diversity produce an exponential growth of the remote sensing data acquired nowadays. Techniques where a large group of individuals, having mobile devices capable of sensing and computing, collectively share data, as for example crowdsensing, contribute significantly to this amount increasing, named data revolution.
Due to the explosive developments in sensing, geospatial sensors started to produce an increasing amount of data, and soon Big Data have become a reality. Cloud computing has gained dominance and nearly unlimited processing and storage capacity are offered. Very large computers are also widely available, providing the base for massive processing. It is important to emphasize that the real potential of harnessing data revolution is the capability to extract additional information that has not been feasible in the past.
We would like to invite you to submit articles about your recent research with respect to the following or similar topics.New Sensors:
Laser, Earth Polychromatic Imaging Camera, for Visual Odometry, for ka-band altimetry,…Sensors integration:
Multispectral remote sensing,
Combination of large, small and micro-satellites...
Machine learning perspective:
Data mining, multi-criteria decision-making, multivariate models for prediction,….
Data Organization and Management,
Programming Technologies for Data Processing.
Augmented reality (AR) and virtual reality (VR) systems,
Improved bathymetric mapping of coasts and lakes,
Massive datasets for understanding the big problems facing society,
Improving localization in urban canyons,
Satellite based augmentation systems…
for simultaneous localization and mapping (SLAM),
for data and image processing…
Prof. Alexandru Isar
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 2400 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.
- sensors integration
- data revolution
- big data
- machine learning
- data mining
- cloud computing
- satellite based augmentation systems