Authors of papers presented at this conference and within the scope of MDPI Remote Sensing may submit a technically extended version to the Special Issue of Remote Sensing.
The scope of this Special Issue is to provide an overview of methods and instruments for and practical experience with testing LiDAR and radar systems and subsystems (land-based, shipborne, and on board of drones, aircraft, and satellites) as well as to obtain measurements of environmental features through remote sensing applications. Specifically, topics of relevance to this Special Issue are: instrument test equipment for verification and validation in the industry, at the customer site, or in the field of operation; automation and remote test equipment; virtual reality technologies; both LiDAR and radar remote sensing applications.
Other topics relevant to this Special Issue are: the state-of-the-art radar system architectures and related digital and software technologies; cognitive radars and the analysis of human-in-the-loop aspects in radar systems; dual-function radar communications and radar systems; waveform design; radar detection theory and radar signal processing; theory, algorithms, and applications (RTAA); target classification; micromotion estimation.
Submitted manuscripts should not have been previously published, nor be under consideration for publication elsewhere (except conference proceedings papers). Conference papers should be cited and noted on the paper. Please note that submitted extended papers should contain at least 50% new content (e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases) and not exceed 30% copy/paste from the original conference paper.
Remote Sensing (ISSN 2072-4292) publishes regular research papers, reviews, technical notes and communications covering all aspects of remote sensing science, from sensor design, validation/calibration, to its application in geosciences, environmental sciences, ecology and civil engineering. Our aim is to publish novel/improved methods/approaches and/or algorithms of remote sensing to benefit the community, open to everyone in need of them. There is no restriction on the maximum length of the papers or colors used. The method/approach must be presented in detail so that the results can be reproduced.
Silvia Liberata Ullo, University of Sannio, Italy
Alfonso Farina, Consultant, Rome, Italy
Yu Yao, School of Information Engineering, East China Jiaotong University, China
Harun Taha Hayvaci, College of Engineering and Technology, American University of the Middle East, Kuwait
Pia Addabbo, Università Giustino Fortunato, Italy