Recent Advances in Hyperspectral Image Processing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 34733
Special Issue Editors
Interests: pattern analysis and machine learning; image processing engineering; application of remote sensing; computational intelligence and its application in remote sensing image processing
Special Issues, Collections and Topics in MDPI journals
Interests: pattern recognition; machine learning; image processing; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent mining and analysis of remote sensing big data
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral target detection; dimensionality reduction; scene classification; metric learning; transfer learning; multi-source remote sensing data geological interpretation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past decades, hyperspectral imagery (HSI) has helped to observe and analyze various ground cover materials with abundant spectral information from hundreds or thousands of spectral bands. The rich spectral information provided by HSI makes it possible to distinguish various surface materials because every material has its own reflectance spectra characteristics, thus allowing for the application of HSI in many fields, including agriculture, forestry, environmental monitoring, geology, mineralogy, military, and medical imaging. Hyperspectral image processing techniques are developing rapidly in the current remote sensing community. Particularly, the development of computer technology and calculation techniques such as artificial intelligence, deep learning, and weakly supervised learning has expanded and enhanced the application direction and scope of hyperspectral image processing in recent years. However, several challenges and open problems are still waiting for efficient solutions and novel methodologies. The main goal of this Special Issue is to address advanced topics related to hyperspectral image processing.
This Special Issue is open to any researchers working on hyperspectral data applications and processing. Topics of interests include but are not limited to the following:
- Radiative transfer modeling;
- Fusion and resolution enhancement;
- Spectral signature libraries and databases;
- Denoising, restoration, and super resolution;
- Endmember extraction and unmixing;
- Dimensionality reduction and band selection;
- Classification and segmentation;
- Target and anomaly detection;
- Change detection and time-series HSI analysis;
- Artificial intelligence for HSI;
- Mineral mapping, lithologic mapping, and geological applications;
- Water quality monitoring;
- Soil environment monitoring;
- Forest species identification;
- Wetland classification;
- Vegetation health monitoring.
Prof. Dr. Liangpei Zhang
Dr. Lefei Zhang
Dr. Qian Shi
Dr. Yanni Dong
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
- Hyperspectral remote sensing
- Image processing
- Machine learning
- Pattern recognition