Efficient Lossless Compression of Multitemporal Hyperspectral Image Data
Hyperspectral imaging (HSI) technology has been used for various remote sensing applications due to its excellent capability of monitoring regions-of-interest over a period of time. However, the large data volume of four-dimensional multitemporal hyperspectral imagery demands massive data compressio...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/4/12/142 |
| _version_ | 1811191704404885504 |
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| author | Hongda Shen Zhuocheng Jiang W. David Pan |
| author_facet | Hongda Shen Zhuocheng Jiang W. David Pan |
| author_sort | Hongda Shen |
| collection | DOAJ |
| description | Hyperspectral imaging (HSI) technology has been used for various remote sensing applications due to its excellent capability of monitoring regions-of-interest over a period of time. However, the large data volume of four-dimensional multitemporal hyperspectral imagery demands massive data compression techniques. While conventional 3D hyperspectral data compression methods exploit only spatial and spectral correlations, we propose a simple yet effective predictive lossless compression algorithm that can achieve significant gains on compression efficiency, by also taking into account temporal correlations inherent in the multitemporal data. We present an information theoretic analysis to estimate potential compression performance gain with varying configurations of context vectors. Extensive simulation results demonstrate the effectiveness of the proposed algorithm. We also provide in-depth discussions on how to construct the context vectors in the prediction model for both multitemporal HSI and conventional 3D HSI data. |
| first_indexed | 2024-04-11T23:40:22Z |
| format | Article |
| id | doaj.art-9642933ccc234b5fa71268fd007e03bb |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-04-11T23:40:22Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-9642933ccc234b5fa71268fd007e03bb2022-12-22T03:56:49ZengMDPI AGJournal of Imaging2313-433X2018-12-0141214210.3390/jimaging4120142jimaging4120142Efficient Lossless Compression of Multitemporal Hyperspectral Image DataHongda Shen0Zhuocheng Jiang1W. David Pan2Bank of America Corporation, New York, NY 10020, USADepartment of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL 35899, USADepartment of Electrical and Computer Engineering, University of Alabama in Huntsville, Huntsville, AL 35899, USAHyperspectral imaging (HSI) technology has been used for various remote sensing applications due to its excellent capability of monitoring regions-of-interest over a period of time. However, the large data volume of four-dimensional multitemporal hyperspectral imagery demands massive data compression techniques. While conventional 3D hyperspectral data compression methods exploit only spatial and spectral correlations, we propose a simple yet effective predictive lossless compression algorithm that can achieve significant gains on compression efficiency, by also taking into account temporal correlations inherent in the multitemporal data. We present an information theoretic analysis to estimate potential compression performance gain with varying configurations of context vectors. Extensive simulation results demonstrate the effectiveness of the proposed algorithm. We also provide in-depth discussions on how to construct the context vectors in the prediction model for both multitemporal HSI and conventional 3D HSI data.https://www.mdpi.com/2313-433X/4/12/142lossless compressionmultitemporal hyperspectral imagesinformation theoretic analysispredictive coding |
| spellingShingle | Hongda Shen Zhuocheng Jiang W. David Pan Efficient Lossless Compression of Multitemporal Hyperspectral Image Data Journal of Imaging lossless compression multitemporal hyperspectral images information theoretic analysis predictive coding |
| title | Efficient Lossless Compression of Multitemporal Hyperspectral Image Data |
| title_full | Efficient Lossless Compression of Multitemporal Hyperspectral Image Data |
| title_fullStr | Efficient Lossless Compression of Multitemporal Hyperspectral Image Data |
| title_full_unstemmed | Efficient Lossless Compression of Multitemporal Hyperspectral Image Data |
| title_short | Efficient Lossless Compression of Multitemporal Hyperspectral Image Data |
| title_sort | efficient lossless compression of multitemporal hyperspectral image data |
| topic | lossless compression multitemporal hyperspectral images information theoretic analysis predictive coding |
| url | https://www.mdpi.com/2313-433X/4/12/142 |
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