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Recent Progress in Hyperspectral Remote Sensing Data Processing
This special issue belongs to the section “Environmental Remote Sensing“.
Special Issue Information
Dear Colleagues,
Hyperspectral remote sensing continues to attract the interest of both industry and academia, as more new applications appear that show its full potential. With the advent of NewSpace and the launch of small satellite constellations, hyperspectral data acquisition is becoming more widespread. This deployment of new hyperspectral sensors entails a wide range of challenges, from the design of more powerful and precise cameras through to the configuration of the systems on board, taking in compression techniques that allow a more efficient transmission, and the multiple techniques of processing on Earth.
This Special Issue is addressed to all researchers and professionals working in the field of hyperspectral data processing, and expects original contributions that describe novelties and innovations in any of the processing stages.
The Special Issue focuses on hyperspectral data, but papers showing progress in multispectral, ultraspectral or other types of remote sensing data are also welcome.
Prof. Dr. Joan Serra-Sagristà
Prof. Dr. Vladimir Lukin
Dr. Benoit Vozel
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 250 words) can be sent to the Editorial Office for assessment.
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
- remote sensing data processing
- classification, segmentation, and detection
- transmission and compression
- machine-learning based remote sensing processing
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