Special Issue "Advances in Hyperspectral Data 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: 29 February 2024 | Viewed by 59
Special Issue Editors
Interests: hyperspectral imaging; UAVs; earth observation; data fusion; machine learning; computer vision; crop type classification; precision agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; hyperspectral image processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; artificial Intelligence; hyperspectral image analysis; machine learning; denoising
Interests: remote sensing; water quality; imaging spectroscopy; calibration; satellite; remote sensing applications
Special Issue Information
Dear Colleagues,
The IEEE 13th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2023) is scheduled to take place from 31 October to 2 November 2023. WHISPERS is a significant scientific and technical event within the realm of remote sensing and is organized by the IEEE Geoscience and Remote Sensing Society (GRSS).
The conference’s primary focus is on exploring and advancing the field of remote sensing by delving into hyperspectral image and signal processing techniques. WHISPERS provides an invaluable platform for researchers and industry professionals to engage in discussions about the continuously evolving landscape of remote sensing technology and its diverse applications.
In conjunction with the conference, a Special Issue of MDPI Remote Sensing has been planned, which will be open to authors presenting papers at the conference. It is important to note that papers submitted for this Special Issue should not be identical to the papers presented at the WHISPERS conference. Instead, authors are encouraged to provide longer papers, typically 2 to 3 times longer, offering a more comprehensive presentation of their work, enhanced techniques and methodologies, additional datasets, and expanded experimental sections. Authors are also asked to specify the corresponding paper number for WHISPERS 2023 in their cover letter. Failing to provide this information will result in the paper being considered as a regular submission.
Dr. Karantzalos Konstantinos
Prof. Dr. Danfeng Hong
Dr. Behnood Rasti
Sindy Sterckx
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 data processing
- image processing
- signal processing
- feature extraction
- dimension reduction
- unmixing and source separation
