Advanced Techniques for Spaceborne 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: closed (31 March 2020) | Viewed by 52055
Special Issue Editors
Interests: hyperspectral remote sensing; infrared and hyperspectral imaging technology; high precision calibration technology; remote sensing image applications; precision optical mechanical technologies; Imaging processing & inversion
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral imagery; remote sensing; intelligent processing; machine learning; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral remote sensing; sensors; information acquisition & processing circuit technology; photoelectric information processing; electronic system design
Interests: remote sensing; hyperspectral image processing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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:
- The hardware design, manufacture, and calibration of hyperspectral images (including on-orbit and planned missions.)
- 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.)
- Data quality evaluation criteria and comparative analysis (the quality evaluation metric, the comparison with spaceborne hyperspectral products, etc.)
- 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.)
- 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 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- hyperspectral imagery
- sensors
- remote sensing
- high-precision calibration
- image classification
- data pre-processing
- image denoising
- remote-sensing image applications
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