Trends and Prospects in Hyperspectral Remote Sensing Images Processing and Analysis
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 26 February 2025 | Viewed by 80
Special Issue Editors
Interests: hyperspectral image processing; deep learning; computer vision
Interests: image and video restoration; 3D scene reconstruction; multimodal fusion perception
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hyperspectral remote sensing technology is able to analyze the structure and material characteristics of surface features by simultaneously obtaining spatial and spectral information. It also has the ability to distinguish more types of features and invert an increased number of features. Currently, hyperspectral remote sensing is widely used in many fields, such as precision agriculture, geological surveys, land and resource surveys, atmospheric environment analysis, and military target detection. Hyperspectral image processing and analysis play the crucial role for the above applications, such as anomaly detection, denoising, super-resolution, object detection, fusion, classification, unmixing, etc. Therefore, the main purpose of this Special Issue is to showcase recent techniques and trends used for processing and analyzing hyperspectral remote sensing images and to promote the development of spectral imaging technologies.
This Special Issue aims to collect studies concerning hyperspectral remote sensing image processing and analysis, especially for the new methods, frameworks, trends, and prospects.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Hyperspectral image anomaly detection;
- Hyperspectral image denoising;
- Hyperspectral image super-resolution;
- Hyperspectral image object detection;
- Hyperspectral image fusion;
- Hyperspectral image classification;
- Hyperspectral image unmixing;
- Hyperspectral video tracking.
Dr. Qiang Zhang
Dr. Kui Jiang
Guest Editors
Mr. Yi Xiao
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
- hyperspectral image
- object detection
- deep learning
- image processing
- classification
- anomaly detection
- super-resolution
- denoising
- fusion
- unmixing
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