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Efficient Lossless Compression of Multitemporal Hyperspectral Image Data

Hongda Shen, Zhuocheng Jiang, W. Pan
2018 Journal of Imaging  
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  ...  However, the large data volume of four-dimensional multitemporal hyperspectral imagery demands massive data compression techniques.  ...  Acknowledgments: We would like to thank Joel Fu of the Computer Science Program, Alabama A&M University, Normal, AL, for providing facilities including a SOC 700 hyperspectral camera for data collection  ... 
doi:10.3390/jimaging4120142 fatcat:qro3iawdqjh5tc4u53rznkrj4u

Virtually Lossless Compression of Astrophysical Images

Cinzia Lastri, Bruno Aiazzi, Luciano Alparone, Stefano Baronti
2005 EURASIP Journal on Advances in Signal Processing  
Eventually, the rationale of virtually lossless compression, that is, a noise-adjusted lossles/near-lossless compression, is highlighted and found to be in accordance with concepts well established for  ...  Extensive experimental results of lossless, near-lossless, and lossy compression of astrophysical images acquired by the Hubble space telescope show the advantages of the proposed method compared to standard  ...  ACKNOWLEDGMENT The authors wish to thank the anonymous referees, whose insightful comments and constructive criticisms have greatly improved the clarity of presentation of the concepts expressed in the  ... 
doi:10.1155/asp.2005.2521 fatcat:23nobmybjbg37emv64syqq4jzy

Effective compression of hyperspectral imagery using an improved 3D DCT approach for land-cover analysis in remote-sensing applications

Tong Qiao, Jinchang Ren, Meijun Sun, Jiangbin Zheng, Stephen Marshall
2014 International Journal of Remote Sensing  
Effective compression of hyperspectral imagery using an improved 3D DCT approach for land cover analysis in remote sensing applications Although hyperspectral imagery (HSI), which has been applied in a  ...  2014) Effective compression of hyperspectral imagery using an improved 3D DCT approach for land cover analysis in remote sensing applications.  ...  (Mielikainen and Toivanen 2008) , crisp and fuzzy adaptive spectral predictions (Aiazzi et al. 2007 ), context-based adaptive classified arithmetic coding in wavelet domain (Zhang and Liu 2007b) and  ... 
doi:10.1080/01431161.2014.968682 fatcat:6frp7nuwaffwjaa4hnlal5eute

The Wavelet Transform as a Classification Criterion Applied to Improve Compression of Hyperspectral Images [chapter]

Daniel Acevedo, Ana Ruedi
2012 Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology  
Crisp and fuzzy adaptive spectral predictions for lossless and near-lossless compression of hyperspectral imagery, IEEE Geos. Remote Sensing Letters 4(4): 532-536.  ...  &Baronti, S. (1999).Lossless compression of multi/hyperspectral imagery based on a 3-D fuzzy prediction, IEEE Trans. Geos. Remote Sensing 37(5): 2287-2294.  ... 
doi:10.5772/38335 fatcat:ha3q3xnjeraenkhhjattim5aqe

2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50

2012 IEEE Transactions on Geoscience and Remote Sensing  
., +, TGRS Jan. 2012 149-169 Fuzzy systems A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery. Stavrakoudis, D.  ...  ., +, TGRS Feb. 2012 446-460 Data compression Predictive Quantization of Range-Focused SAR Raw Data.  ...  Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012  ... 
doi:10.1109/tgrs.2012.2229656 fatcat:hjrotpfsqzhxlnnme27ftv33cu

Flooding Attacks Detection of Mobile Agents in IP Networks

Jean Tajer, Mo Adda, Benjamin Aziz
2017 Computer Science & Information Technology (CS & IT)   unpublished
ACKNOWLEDGEMENT The authors would like to thank everyone, in the Department of Computer Science and Engineering for their support and help ACKNOWLEDGEMENTS  ...  INTRODUCTION Hyperspectral imagery (HSI) is a main tool of remote sensing applications.  ...  LINK MINING METHODOLOGY As CRISP-DM methodology is well developed and applied in knowledge discovery; this research has adapted it to the emerging field of link mining.  ... 
doi:10.5121/csit.2017.70501 fatcat:4vweczkjofbutkkze2zhf7xk74