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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Al Mamun, M. Xiuping Jia Ryan, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Engineering and Information Technology University College, The University of New South Wales, Australian Defence Force Academy Campbell ACT 2600 Australia (Al Mamun, M.; Xiuping Jia; Ryan, M.) |
| Abstract | In this paper, a selective data compression scheme is developed to combine the need for efficient data transmission and the receivers' interest in changes presented in the data by taking the advantage of the fact that receivers hold a copy of previous data. Three-step pre-processing is introduced in this paper. Firstly we separate the unchanged areas (the majority) of the image from the changed areas between successive images of the same area. Secondly, the bands which are sensitive to the changes are identified with the aid of statistical measures. Finally, a binary index image of each band is generated to indicate the two categories. Following this pre-processing, compression of the unchanged areas and changed areas is conducted separately. In this way, different compression algorithms can be applied to each case. As the majority data will be unchanged and only a subset of bands reflects the changes, high compression rate is achievable. |
| File Size | 360779 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5417422 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data compression Remote sensing Image coding Principal component analysis Compression algorithms Predictive models Image analysis Australia Data communication Multispectral imaging Huffman coding Change detection PCA linear predictive model |
| Content Type | Text |
| Resource Type | Article |
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