Imagery Classification and Feature Extraction Based on Hyperspectral Remote Sensing
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 November 2024 | Viewed by 119
Special Issue Editors
Interests: hyperspectral unmixing; remote sensing image processing; multi-objective optimization
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning; computer vision; remote sensing processing
Interests: hyperspectral image classification; hyperspectral unmixing; hyperspectral image super-resolution; deep learning; neural networks
Special Issue Information
Dear Colleagues,
Hyperspectral remote sensing can provide abundant spectral information on objects, thereby realizing sub-pixel and material-level identifications. As such, it plays a huge role in precision agriculture, national defense and military, water quality testing, mineral exploration, and other fields. In recent years, with the development of aerospace technology, the amount of earth observation data and data sources have increased day by day. The efficient processing and application breakthrough of remote sensing big data have become pain points and difficulties that urgently need to be solved. Especially under the current wave of large AI models, the collision of artificial intelligence and remote sensing will bring huge innovations to remote sensing related technologies and push the remote sensing industry into a new development cycle.
This Special Issue will focus on state-of-the-art or newly developed methods for the classification and feature extraction of hyperspectral remote sensing images. It will cover (but will not be limited to) the following topics:
- Cutting-edge technologies for hyperspectral classification and feature extraction;
- Large models for hyperspectral classification and feature extraction;
- Application of hyperspectral classification and feature extraction in real scenarios;
- Opportunities and challenges in hyperspectral remote sensing image processing.
Dr. Xia Xu
Dr. Sen Lei
Dr. Yuanchao Su
Dr. Xuanwen Tao
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
- remote sensing
- hyperspectral image
- image classification
- feature extraction
- artificial intelligence
- image processing
