Predicting the Lossless Compression Ratio of Remote Sensing Images With Configurational Entropy
Compression of remote sensing images is beneficial to both storage and transmission. For lossless compression, the upper and lower limits of compression ratio are defined by Shannon's source coding theorem with Shannon entropy as the metric, which measures the statistical information of a...
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| Main Authors: | , |
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| Format: | article |
| Language: | EN |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/e36d0be75eea4de8bdae9c21fedbb538 |
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