Earth science data compression issues and activities
- 1 June 1994
- journal article
- research article
- Published by Taylor & Francis in Remote Sensing Reviews
- Vol. 9 (4) , 271-298
- https://doi.org/10.1080/02757259409532232
Abstract
Due to the large volume of Earth science data projected to be collected froms pace platforms over the next several years, Earth science data information systems will be facing significant problems in data transmission, storage, and dissemination. Data compression is one tool that can be used to overcome these problems; however, no single data compression approach is likely to be appropriate for all aspects of this problem. The data compression approaches employed must be tailored appropriately for each particular aspect of the information system. We describe here several data compression approaches that show promise for application to one or another aspect of the information system. We then highlight selected current attempts to apply data compression techniques to particular aspects of the Earth science data information system. We conclude by stating our belief that data compression technology will not only help the Earth science community deal more effectively with their data volume problem, but, if applied in the most appropriate manner, will also serve to enhance the collection, distribution, analysis, and overall scientific worth of Earth science data.Keywords
This publication has 33 references indexed in Scilit:
- Image coding by adaptive tree-structured segmentationIEEE Transactions on Information Theory, 1992
- Image coding using wavelet transformIEEE Transactions on Image Processing, 1992
- A VLSI chip set for high-speed lossless data compressionIEEE Transactions on Circuits and Systems for Video Technology, 1992
- The JPEG still picture compression standardCommunications of the ACM, 1991
- The self-organizing mapProceedings of the IEEE, 1990
- Optimal pruning with applications to tree-structured source coding and modelingIEEE Transactions on Information Theory, 1989
- An adaptive dependency source model for data compressionCommunications of the ACM, 1989
- A simulation of the global ocean circulation with resolved eddiesJournal of Geophysical Research: Oceans, 1988
- Arithmetic coding for data compressionCommunications of the ACM, 1987
- An Algorithm for Vector Quantizer DesignIEEE Transactions on Communications, 1980