Recent Advances in Hyperspectral Remote Sensing: Theories, Technologies and Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 30 January 2026 | Viewed by 515
Special Issue Editors
Interests: hyperspectral remote sensing; remote sensing; multi-modal remote sensing; artificial intelligence; deep learning
Interests: geophysical image processing; image classification; hyperspectral imaging; remote sensing; feature extraction; image resolution; learning (artificial intelligence); geophysical techniques; object detection; feedforward neural nets; optical radar; convolutional neural nets; image fusion; image reconstruction; image representation; remote sensing by laser beam; Bayes methods; Markov processes; aerosols; agriculture; air pollution; artificial satellites; atmospheric optics; convex programming; convolution
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hyperspectral remote sensing enables the detection of targets with a high spectral resolution across narrow wavelength bands, combining spatial imagery with continuous spectral data. This technology allows for precise identification and offers a transformative perspective regarding the observation of Earth. Moreover, recent advances in artificial intelligence have further propelled progress in hyperspectral remote sensing, enhancing its theoretical foundations, technological capabilities, and practical applications across diverse fields.
This Special Issue seeks to showcase the cutting-edge developments in hyperspectral remote sensing, including theoretical innovations, technological breakthroughs, and novel applications. By compiling a collection of the latest studies, we aim to provide valuable insights for the remote sensing research community and foster future advancements in this dynamic field.
In this Special Issue, both original research articles and reviews are welcome. The research areas may include (but are not limited to) the following:
- Hyperspectral low-level vision tasks (e.g., denoising, restoration, super-resolution, fusion);
- Hyperspectral high-level tasks (e.g., classification, segmentation, anomaly detection);
- The application of hyperspectral remote sensing in specific fields (e.g., precision agriculture, water resource management, mineral exploration).
Dr. Jiaxin Li
Prof. Dr. Lianru Gao
Guest Editors
Dr. Ke Zheng
Guest Editor Assistant
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. 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.
Keywords
- remote sensing
- hyperspectral remote sensing
- image processing
- hyperspectral applications
- artificial intelligence
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.
