Research on Infrared Hyperspectral Remote Sensing Images
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 23
Special Issue Editors
Interests: quantitative remote sensing inversion; hyperspectral image analysis; remote sensing image intelligent interpretation
Special Issues, Collections and Topics in MDPI journals
Interests: quantitative remote sensing inversion; knowledge mining of remote sensing big data and geoscience analysis; intelligent interpretation of remote sensing images; UAV remote sensing
Interests: land/lunar surface temperature inversion; emissivity estimation from thermal infrared remote sensing data
Special Issues, Collections and Topics in MDPI journals
Interests: weak infrared signal processing; development of infrared optoelectronic instruments; infrared hyperspectral data processing
Interests: learning automata; mathematical foundations of learning algorithms; deep learning; leveraging infrared images and AI to address real-world industrial challenges
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Infrared hyperspectral data contain rich spectral information, enabling the more precise determination of radiation variations caused by land–atmosphere coupling processes. It also reflects the diagnostic characteristics of surface features unique to the infrared spectrum, demonstrating significant research value and application prospects. This Special Issue seeks to highlight cutting-edge research and applications in infrared hyperspectral hardware sensor development, inversion methods for critical land surface and atmospheric parameters, and typical applications, aiming to advance its utilization in resource/environmental monitoring, mineral exploration, target detection, and related fields.
We invite contributions that address innovative methodologies, algorithms, and case studies leveraging infrared hyperspectral remote sensing images. Topics of interest include, but are not limited to, the following:
- Infrared hyperspectral sensors;
- Radiometric calibration of infrared hyperspectral imagery;
- Physical modelling of infrared remote sensing;
- Retrieval of land–atmosphere parameters from infrared hyperspectral remote sensing imagery;
- Validation of infrared remote sensing products;
- Applications of infrared hyperspectral remote sensing: target detection, mining, environmental monitoring, and precision agriculture;
- Infrared hyperspectral remote sensing data fusion.
This Special Issue focuses on cutting-edge advancements and key technologies in infrared hyperspectral remote sensing, providing a platform for researchers to share insights on it. We particularly encourage submissions addressing key challenges in technical scalability, validation methodologies, and real-world engineering implementation.
Dr. Liqin Cao
Dr. Hua Wu
Dr. Huazhong Ren
Prof. Dr. Chunlai Li
Dr. Xuan Zhang
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. 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
- infrared hyperspectral imaging
- spaceborne and airborne infrared hyperspectral sensor
- radiometric calibration
- physics-based modelling
- validation of remote sensing products
- infrared hyperspectral data fusion
- infrared parameters retrieval
- infrared target detection
- precision agriculture
- environmental monitoring
- mineral mapping
- planetary infrared hyperspectral remote sensing
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