Advanced Techniques for Spaceborne Hyperspectral Remote Sensing

Dear Colleagues,

Hyperspectral remote-sensing imaging has advantageous narrow-continuous spectral bands that make it highly desirable in various applications, e.g., precision agriculture, forestry protection, urban planning, and environment monitoring. Compared with the airborne hyperspectral sensors, spaceborne hyperspectral images are more urgent due to their distinguished advantages on large-scale observations from space to the Earth’s surface. To date, there have been several spaceborne hyperspectral sensors, such as the EO-1 Hyperion of USA, CHRIS of European Space Agency, and HJ-1A and GaoFen (GF)-5 visible short-wave infrared hyperspectral sensor of China. More spaceborne hyperspectral missions will be launched in the next few years, such as the EnMAP of Germany, the PRISMA of Italy, HyspIRI of USA, and CartoSat-3/3A/3B and ResourceSat-3 of India. The launch of these satellites will attract increasing attention from researchers all over the world on spaceborne hyperspectral imaging techniques. In this Special Issue, advanced techniques for spaceborne hyperspectral remote-sensing will be presented.

This Special Issue aims to collect articles addressing new design and processing of spaceborne hyperspectral remote-sensing images. We invite you to submit the most recent advancements in all relevant aspects, including but not limited to the following topics:

1. The hardware design, manufacture, and calibration of hyperspectral images (including on-orbit and planned missions.)
2. Advanced data pre-processing methods for hyperspectral images (relative radiometric correction, absolute radiometric correction, geometric correction, image denoising, removal of stripe noise, the removal of the etalon effect, the reconstruction of dead pixels, etc.)
3. Data quality evaluation criteria and comparative analysis (the quality evaluation metric, the comparison with spaceborne hyperspectral products, etc.)
4. Advanced hyperspectral image processing methods and tools (data fusion, image segmentation and classification, change detection and multi-temporal analysis, target detection, and dimensionality reduction, etc.)
5. Data quality verification from realistic applications (coastal environmental studies, precision agriculture and urban planning, etc.)

Dr. Yinnian Liu
Dr. Qian Du
Dr. Dexin Sun
Dr. Weiwei Sun
Dr. Feng Wang
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-anonymized 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.