Multispectral and Hyperspectral Imaging for Next-Generation Sensing Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 5 October 2025 | Viewed by 590
Special Issue Editors
Interests: hyperspectral image processing; machine learning; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Interests: infrared imaging; artificial intelligence; image processing; embedded system
Special Issues, Collections and Topics in MDPI journals
Interests: imaging processing; infrared and hyperspectral imaging; small target detection
Special Issues, Collections and Topics in MDPI journals
Interests: infrared and spectral signal processing technologies and theories
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hyperspectral imaging has emerged as a crucial tool in remote sensing geology, providing essential support for applications such as land and mineral resource management, geological disaster early warning systems, and military functions, including air defenses and camouflage detection. The European Union's white paper, "100 radical innovation breakthroughs for the future," identifies hyperspectral imaging as a disruptive technology poised to significantly impact the global economy. Despite its promise, achieving high spatial, temporal, and spectral resolution simultaneously—termed the "three high resolutions"—remains a significant bottleneck in both military and civilian applications due to inherent trade-offs among these dimensions. This Special Issue focuses on the use of innovative systems for high-resolution hyperspectral imaging, alongside advanced methodologies such as super-resolution techniques, spectral unmixing, anomaly detection, and refined classification processes. Furthermore, given the widespread use of deep learning and the scarcity of training data in remote sensing, this Special Issue will explore advancements in hyperspectral data generation. This research seeks to mitigate the challenge of "data scarcity," facilitating a shift from basic classification to more sophisticated identification of hyperspectral targets. By supporting models with increased parameter scale and complexity, we will provide the theoretical and methodological foundations necessary to advance applications into the era of large-scale remote sensing models.
Dr. Xiaoguang Mei
Dr. Jun Huang
Dr. Fan Fan
Dr. Hao Li
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 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. Sensors 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 2600 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.
Keywords
- hyperspectral imaging
- remote sensing geology
- hyperspectral applications
- three high-resolution imaging
- data generation
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
