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Spectral Distortion in Lossy Compression of Hyperspectral Data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri, Massimo Selva
2012 Journal of Electrical and Computer Engineering  
Distortion allocation varying with wavelength in lossy compression of hyperspectral imagery is investigated, with the aim of minimizing the spectral distortion between original and decompressed data.  ...  However, variable distortion allocation according to the virtually lossless protocol yields significantly lower SAM in case of reflectance spectra obtained from compressed radiance data, if compared with  ...  Under this perspective, spectral angle might be useful to measure the distortion of lossy compressed hyperspectral data.  ... 
doi:10.1155/2012/850637 fatcat:7haoj5dw7bdirpkjgnlnehvjgq

On the Impact of Atmospheric Correction on Lossy Compression of Multispectral and Hyperspectral Imagery

Qian Du, J.E. Fowler, Wei Zhu
2009 IEEE Transactions on Geoscience and Remote Sensing  
Reflectance data are often preferred to radiance data in applications of multispectral and hyperspectral imagery in which subtle spectral features are analyzed.  ...  Lossy compression, often in the form of the JPEG2000 standard, will also likely factor into the distribution and archiving data flow.  ...  Distortion is measured as SNR and rate in terms of bits per pixel per band (bpppb). Fig. 2 . 2 Compression of reflectance versus compression of radiance.  ... 
doi:10.1109/tgrs.2008.2001407 fatcat:ug7omg2wbfdhti4ly2lihaymde

GPU implementation of JPEG2000 for hyperspectral image compression

Milosz Ciznicki, Krzysztof Kurowski, Antonio Plaza, Bormin Huang, Antonio J. Plaza
2011 High-Performance Computing in Remote Sensing  
JPEG2000 is an important technique for data compression which has been successfully used in the context of hyperspectral image compression, either in lossless and lossy fashion.  ...  For the lossy mode, we investigate the utility of the compressed hyperspectral images for different compression ratios, using a standard technique for hyperspectral data exploitation such as spectral unmixing  ...  Hyperspectral unmixing chain In order to evaluate the impact of lossy compression on hyperspectral data quality, we follow an exploitationbased approach which consists of applying a spectral unmixing chain  ... 
doi:10.1117/12.897386 fatcat:nerx6t4ilveujblqyw6bxzxwhq

On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing

Fernando Garcia-Vilchez, Jordi Munoz-Mari, Maciel Zortea, Ian Blanes, Vicente Gonzalez-Ruiz, Gustavo Camps-Valls, Antonio Plaza, Joan Serra-Sagrista
2011 IEEE Geoscience and Remote Sensing Letters  
In this letter, we quantify the impact of lossy compression on two standard approaches for hyperspectral data exploitation: spectral unmixing, and supervised classification using support vector machines  ...  Our experimental assessment reveals that different stages of the linear spectral unmixing chain exhibit different sensitivities to lossy data compression.  ...  meaning higher spectral similarity). 3) Experiment 3: Impact Of Hyperspectral Data Lossy Compression on the Estimation of Abundances: To evaluate the impact of hyperspectral data compression on the  ... 
doi:10.1109/lgrs.2010.2062484 fatcat:22ayxuwslfbrfnw3rgs7ii4oye

Graphics processing unit implementation of JPEG2000 for hyperspectral image compression

Krzysztof Kurowski
2012 Journal of Applied Remote Sensing  
JPEG2000 is an important technique for data compression, which has been successfully used in the context of hyperspectral image compression, either in lossless and lossy fashion.  ...  For the lossy mode, we investigate the utility of the compressed hyperspectral images for different compression ratios, using a standard technique for hyperspectral data exploitation such as spectral unmixing  ...  Hyperspectral Unmixing Chain In order to evaluate the impact of lossy compression on hyperspectral data quality, we follow an exploitation-based approach that consists of applying a spectral unmixing chain  ... 
doi:10.1117/1.jrs.6.061507 fatcat:3imvjvxoivci7anii3rok24mqe

Low-Complexity Compression Algorithm for Hyperspectral Images Based on Distributed Source Coding

Yongjian Nian, Mi He, Jianwei Wan
2013 Mathematical Problems in Engineering  
A low-complexity compression algorithm for hyperspectral images based on distributed source coding (DSC) is proposed in this paper.  ...  Experimental results show that the compression performance of the proposed algorithm is competitive with that of the state-of-the-art compression algorithms for hyperspectral images.  ...  Acknowledgment This work was supported by the National Natural Science Foundation of China (nos. 41201363 and 61101183).  ... 
doi:10.1155/2013/825673 fatcat:bahoetr6kbdjlcoyxm3ro7uclu

Evaluation of JP3D for lossy and lossless compression of hyperspectral imagery

Jing Zhang, James E. Fowler, Nicolas H. Younan, Guizhong Liu
2009 2009 IEEE International Geoscience and Remote Sensing Symposium  
The performance of the recent JPEG2000 Part 10 standard, known as JP3D, is evaluated for the lossy and lossless compression of hyperspectral imagery.  ...  Results reveal that, while for lossless coding, JP3D very slightly surpasses the performance of JPEG2000 Part 2, for lossy coding, JP3D fails to match the rate-distortion performance of the 2D Part-2 coder  ...  A favored paradigm for lossy compression of hyperspectral imagery consists of spectral Karhunen-Loève transform (KLT) followed by a 2D spatial DWT (e.g., [10, 11] ).  ... 
doi:10.1109/igarss.2009.5417416 dblp:conf/igarss/ZhangFYL09 fatcat:jnzhz6pt3fdfxezv42dj2ag7ee

Lossy-To-Lossless Block-Based Compression of Hyperspectral Volumetric Data

Xiaoli Tang, William A. Pearlman
2006 2006 International Conference on Image Processing  
Three-Dimensional Set Partitioned Embedded bloCK(3D-SPECK) efficiently encodes hyperspectral volumetric image data by exploiting the dependencies in all dimensions.  ...  multi-component in compression efficiency. ‡ Corresponding author.  ...  On the other hand, hyperspectral data carries rich information in the spectral domain.  ... 
doi:10.1109/icip.2006.312756 dblp:conf/icip/TangP06 fatcat:mfpmetsgjbhn5k2xmouokk4caq

Progressive 3-D Coding of Hyperspectral Images Based on JPEG 2000

B. Penna, T. Tillo, E. Magli, G. Olmo
2006 IEEE Geoscience and Remote Sensing Letters  
In this letter we propose a new technique for progressive coding of hyperspectral data.  ...  Index Terms-Three-dimensional set partitioning in hierarchical trees (3D-SPIHT), discrete wavelet transform (DWT), hyperspectral data, JPEG 2000, lossless and lossy compression, wavelet.  ...  CONCLUSION We have proposed a wavelet-based compression technique performing progressive lossy and lossless compression of hyperspectral data.  ... 
doi:10.1109/lgrs.2005.859942 fatcat:b552xr4xhfgzlb6jayjlt4udau

Information-theoretic assessment of on-board near-lossless compression of hyperspectral data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Leonardo Santurri, Massimo Selva
2013 Journal of Applied Remote Sensing  
A rate-distortion model to measure the impact of near-lossless compression of raw data, that is, compression with user-defined maximum absolute error, on the information available once the compressed data  ...  In substance, the acquired raw data are regarded as a noisy realization of a noise-free spectral information source.  ...  Acknowledgments The authors are grateful to Consultative Committee for Space Data Systems for providing the AVIRIS raw data (http://compression.jpl.nasa.gov/hyperspectral).  ... 
doi:10.1117/1.jrs.7.074597 fatcat:asayt3j3o5fw7mtj2vzpvr5fe4

Anomaly-Based JPEG2000 Compression of Hyperspectral Imagery

Qian Du, Wei Zhu, James E. Fowler
2008 IEEE Geoscience and Remote Sensing Letters  
Lossy compression of hyperspectral imagery is considered with special emphasis on the preservation of anomalous pixels.  ...  Experimental results demonstrate that the proposed scheme improves not only anomaly detection performed subsequent to decoding but also the rate-distortion performance of the lossy-compression process.  ...  in not only rate-distortion performance, but also performance in post-compression anomaly detection. • Dataset is the AVIRIS Jasper Ridge radiance data of size 512 × 512 with 224 spectral bands. • 3D-SPIHT  ... 
doi:10.1109/lgrs.2008.2003180 fatcat:ivvpmdfarzg2lcpdz75cgzftke

Hyperspectral Data Compression Tradeoff [chapter]

Emmanuel Christophe
2011 Optical Remote Sensing  
Second, the differences in spatial and spectral relation between values make the more traditional 3D compression algorithms obsolete.  ...  Hyperspectral data are a challenge for data compression. Several factors make the constraints particularly stringent and the challenge exciting.  ...  Lossy compression on the contrary introduces a distortion in the data and the original data cannot be retrieved in its exact form.  ... 
doi:10.1007/978-3-642-14212-3_2 fatcat:kwpl7ffh3rcffnjjeegxhky2a4

An operational approach for hyperspectral image compression

Qian Du, Nam Ly, James E Fowler
2012 2012 IEEE International Geoscience and Remote Sensing Symposium  
In lossy compression such as PCA+JPEG2000 for hyperspectral imagery, the bitrate is usually not fixed, resulting in various rate-distortion performance.  ...  The classification results using the reconstructed data after compression with this bitrate are comparable to those using the original data without compression; meanwhile, detection accuracy can be 100%  ...  The aforementioned lossy compression techniques provide a certain level of distortion performance for a given birate.  ... 
doi:10.1109/igarss.2012.6351284 dblp:conf/igarss/DuLF12 fatcat:h3qpxxoqajaz5cfy4cq7qooage

Hyperspectral image compression using three-dimensional wavelet coding

Xiaoli Tang, William A. Pearlman, James W. Modestino, Bhaskaran Vasudev, T. Russell Hsing, Andrew G. Tescher, Touradj Ebrahimi
2003 Image and Video Communications and Processing 2003  
The structure of hyperspectral images reveals spectral responses that would seem ideal candidate for compression by 3D-SPECK.  ...  from the same bit stream, and the latter one achieves better performance in lossy compression.  ...  Hyperspectral data carry rich information in the spectral domain. A ground sample point in a hyperspectral data set has a distinct spectral profile, which is the fingerprint information of the point.  ... 
doi:10.1117/12.476516 fatcat:lzyf7aiwmvgb3ljllrzyttmjfi

Lossy-to-Lossless Compression of Hyperspectral Image Using the 3D Set Partitioned Embedded ZeroBlock Coding Algorithm

Ying Hou
2009 Journal of Software Engineering and Applications  
In this paper, we propose a three-dimensional Set Partitioned Embedded ZeroBlock Coding (3D SPEZBC) lossy-to-lossless compression algorithm for hyperspectral image which is an improved three-dimensional  ...  In comparison with several state-of-the-art wavelet coding algorithms, the proposed algorithm provides better compression performance and unsupervised classification accuracy.  ...  For lossy compression the rate distortion performance was compared by means of the signal-to-noise (SNR) values for a variety of bit rates in bits per pixel per band (bpppb), and for lossless compression  ... 
doi:10.4236/jsea.2009.22013 fatcat:c6azg4tfy5avzkui6op62kebsm
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