AI-Enhanced Remote Sensing for High-Precision Positioning and Navigation

Dear Colleagues,

Continuous high-precision positioning and navigation services play a vital role in intelligent transportation, geosciences, infrastructure monitoring, and emerging autonomous systems. With the rapid advancement of artificial intelligence (AI), machine learning, and data-driven methods, new opportunities have emerged to enhance positioning and navigation performances, and address long-standing limitations. By fusing diverse remote sensing observations, such as Global Navigation Satellite Systems (GNSS), optical imagery, LiDAR, and radar, with AI-enhanced algorithms, it becomes possible to overcome limitations caused by multipath effects, signal blockages, and dynamic environments, thus paving the way for more robust and intelligent positioning solutions.

This Special Issue aims to bring together cutting-edge research on AI-enhanced remote sensing for high-precision positioning and navigation. The objective is to explore how AI and related remote sensing technologies can improve error modeling, real-time correction, sensor fusion, and performance in challenging environments. By connecting methodological advances with practical applications, this issue aligns with the scope of Remote Sensing, particularly in advancing geospatial technologies, intelligent sensing, and navigation solutions for both scientific and industrial domains.

We welcome a wide range of contributions, including original research papers, methodological developments, case studies, and comprehensive reviews. The suggested topics include, but are not limited to, the following:

• AI-driven methods for error modeling, mitigation, and correction in remote sensing techniques
• Machine learning approaches for multi-frequency, multi-constellation GNSS
• AI-enhanced fusion of multiple data sources from remote sensing sensors
• Intelligent positioning in urban, indoor, or harsh environments based on multi-sensor fusion
• Real-time high-precision navigation for autonomous vehicles, UAVs, and maritime systems
• AI-assisted atmospheric and ionospheric modeling for GNSS applications
• Applications of deep learning and graph neural networks in precise positioning
• The future development of AI-enhanced precision positioning and navigation and applications

Prof. Dr. Xiangdong An
Prof. Dr. Xiaolin Meng
Dr. Craig M. Hancock
Dr. Qusen Chen
Guest Editors

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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.

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 2700 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.