A process for the accurate reconstruction of pre-filtered and compressed digital aerial images
Paper
Paper/Presentation Title | A process for the accurate reconstruction of pre-filtered and compressed digital aerial images |
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Presentation Type | Paper |
Authors | Scarmana, Gabriel (Author) and McDougall, Kevin (Author) |
Journal or Proceedings Title | Proceedings of the 11th International Symposium on Digital Earth (ISDE 11) |
ERA Conference ID | 74284 |
Journal Citation | 509 |
Article Number | 012047 |
Number of Pages | 3 |
Year | 2020 |
Place of Publication | Florence, Italy |
Digital Object Identifier (DOI) | https://doi.org/10.1088/1755-1315/509/1/012047 |
Web Address (URL) of Paper | https://iopscience.iop.org/issue/1755-1315/509/1 |
Conference/Event | 11th International Symposium on Digital Earth (ISDE 11) |
International Symposium of the Digital Earth (ISDE) | |
Event Details | 11th International Symposium on Digital Earth (ISDE 11) Event Date 24 to end of 27 Sep 2019 Event Location Florence, Italy |
Event Details | International Symposium of the Digital Earth (ISDE) ISDE |
Abstract | The study of compression and decompression methods is crucial for storage and/or transmission of large numbers of image data which is required for archiving aerial photographs, satellite images and digital ortho-photos. Hence, the proposed work aims to increment the compression ratio (CR) of digital images in general. While emphasis is made on aerial images, the same principle may find applications to other types of raster based images. |
Keywords | image reconstruction, image Convolution, image Filtering |
ANZSRC Field of Research 2020 | 490302. Numerical analysis |
401302. Geospatial information systems and geospatial data modelling | |
401304. Photogrammetry and remote sensing | |
460306. Image processing | |
Byline Affiliations | School of Civil Engineering and Surveying |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5w3y/a-process-for-the-accurate-reconstruction-of-pre-filtered-and-compressed-digital-aerial-images
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Scarmana_2020_IOP_Conf._Ser. _Earth_Environ._Sci._509_012047.pdf | ||
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