Image Compression and Coding in Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 November 2019) | Viewed by 311
Special Issue Editor
Special Issue Information
Dear Colleagues,
Spectral imaging has become more and more popular in various imaging applications. In remote sensing spectral imaging has been a standard procedure to capture information for earth science. Now applications e.g. in medical imaging, quality control in production, inspection of properties of products have gained more popularity and at the same time the computational possibilities have enabled more efficient processing of those images. As such the amount of data from spectral imaging are increasing rapidly and efficient ways to code or compress the data are needed.
This special issue calls for recent studies on various data processing approaches that concentrate on coding and compression of spectral images. The results of compression also need to be studied. Quality requirements are application dependent, general approaches as the signal-to-noise ratio is not enough to validate the compressed data. Data compression can be seen also as an intermediate step when the full application defines the goals for the compression. The application may require special modelling of the imaged data, some applications may need detailed data for exact image analysis, e.g. in change detection. Even though the main emphasis of the special issue is in remote sensing submissions on recent openings in other technical fields are also welcome.
Dr. Arto Kaarna
Guest Editor
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.
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Keywords
- technology for spectral imaging (including sensor size, number of bands, dynamic range)
- modelling of spectral images
- compression of spectral images
- coding of spectral images
- near-lossless compression of spectral images
- quality in compression of spectral images
- transform methods with spectral images
- prediction methods for spectral images
- redundancy of spectral bands in a spectral image
- ROI-based compression and coding
- information in spectral images
- noise reduction for spectral images
- compression for clustering and classification of spectral image data • deep neural networks in image compression and coding
- GPU computing in compression and coding of spectral images
- effects of compression on spectral images (e.g. target detection, change detection)
