Table of Contents Author Guidelines Submit a Manuscript
Journal of Electrical and Computer Engineering
Volume 2012 (2012), Article ID 761067, 13 pages
http://dx.doi.org/10.1155/2012/761067
Research Article

Impact of CCSDS-IDC and JPEG 2000 Compression on Image Quality and Classification

1Department of Geography, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain
2European Space Agency, ESTEC, 2201 AZ Noordwijk ZH, The Netherlands

Received 17 June 2011; Revised 29 September 2011; Accepted 2 November 2011

Academic Editor: Bruno Aiazzi

Copyright © 2012 Alaitz Zabala et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. Yua, T. Vladimirova, and M. N. Sweeting, “Image compression systems on board satellites,” Acta Astronautica, vol. 64, no. 9-10, pp. 988–1005, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. D. J. Maguire and P. A. Longley, “The emergence of geoportals and their role in spatial data infrastructures,” Computers, Environment and Urban Systems, vol. 29, no. 1, pp. 3–14, 2005. View at Publisher · View at Google Scholar · View at Scopus
  3. J. Masó, K. Pomakis, and N. Julià, OpenGIS® Web Map Tile Service Implementation Standard, v. 1.0.0, Open Geospatial Consortium Inc. Document reference number 07-057r7, 2010, http://www.opengeospatial.org/standards/wmts.
  4. ISO/IEC 15444-1:2004, “Information technology—JPEG 2000 image coding system: core coding system,” Geneva, Switzerland, 2004.
  5. CCSDS, Image Data Compression, recommendation for space data system standards, CCSDS 122.0-B-1, 2005, http://public.ccsds.org/publications/archive/122x0b1c2.pdf.
  6. Sentinel-2 team, GMES Sentinel-2 Mission Requirements Document, EOP-SM/1163/MR-dr, Issue 2 Rev. 1, March 2010, http://esamultimedia.esa.int/docs/GMES/Sentinel-2_MRD.pdf.
  7. Sentinel-2 team, GMES Sentinel-2 Image Performance Simulator Description, S2-TN-ASG-SY-2002, Issue 1 Rev. 1, ESA confidential, February 2007.
  8. CEFLES team, CEFLES-2 Final Report, contract no. 20801/07/I-LG and 20802/07/I-LG, June 2009, http://earth.esa.int/campaigns/index.htm.
  9. M. Cabral, “WhiteDwarf compression tester user’s manual,” European Space Agency, TEC-EDP, 2009.
  10. H. Wang, An implementation of CCSDS 122.0-B-1 Recommended Standard, March 2008, http://hyperspectral.unl.edu/.
  11. GICI group, “BOI user manual,” Department Group on Interactive Coding of Images, Autonomous University of Barcelona, September 2005, http://www.gici.uab.cat/BOI/.
  12. X Pons, MiraMon: Geographical Information System and Remote Sensing Software, Version 6, 2008, http://www.creaf.uab.cat/miramon/.
  13. ITTVIS, “ENVI software version 4.3,” 2006, http://www.ittvis.com/ProductServices/ENVI.aspx.
  14. H. Xie, Y. Q. Tian, J. A. Granillo, and G. R. Keller, “Suitable remote sensing method and data for mapping and measuring active crop fields,” International Journal of Remote Sensing, vol. 28, no. 2, pp. 395–411, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. G. Chirici, P. Corona, M. Marchetti, and D. Travaglini, “Testing Ikonos and Landsat 7 ETM+ potential for stand-level forest type mapping by soft supervised approaches,” in Advances in Forest Inventory for Sustainable Forest Management and Biodiversity Monitoring, P. Corona, M. Köhl, and M. Marchetti, Eds., Forestry Sciences, pp. 71–86, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2003. View at Google Scholar
  16. V. Palà and X. Pons, “Incorporation of relief into geometric corrections based on polynomials,” Photogrammetric Engineering & Remote Sensing, vol. 61, no. 7, pp. 935–944, 1995. View at Google Scholar
  17. X. Pons and L. Solé-Sugrañes, “A simple radiometric correction model to improve automatic mapping of vegetation from multispectral satellite data,” Remote Sensing of Environment, vol. 48, no. 2, pp. 191–204, 1994. View at Publisher · View at Google Scholar · View at Scopus
  18. D. Taubman, Kakadu Survey Documentation, last updated for Version 5.0, UNSW, October 2005, http://www.kakadusoftware.com.
  19. A. Zabala, J. Gonzalez-Conejero, J. Serra-Sagrista, and X. Pons, “JPEG2000 encoding of images with NODATA regions for remote sensing applications,” Journal of Applied Remote Sensing, vol. 4, no. 1, Article ID 041793, 2010. View at Publisher · View at Google Scholar
  20. P. Serra, X. Pons, and D. Saurí, “Post-classification change detection with data from different sensors: some accuracy considerations,” International Journal of Remote Sensing, vol. 24, no. 16, pp. 3311–3340, 2003. View at Publisher · View at Google Scholar · View at Scopus
  21. P. Serra, G. Moré, and X. Pons, “Cadastre land-cover enrichment using remote sensing data: thematic accuracy consequences of being more or less conservative from a pixel and from a polygon perspective,” Photogrammetric Engineering & Remote Sensing, vol. 75, no. 12, pp. 1441–1449, 2009. View at Google Scholar
  22. G. M. Foody, “Status of land cover classification accuracy assessment,” Remote Sensing of Environment, vol. 80, no. 1, pp. 185–201, 2002. View at Publisher · View at Google Scholar · View at Scopus
  23. S. E. Qian, A. Hollinger, M. Bergeron et al., “A multidisciplinary user acceptability study of hyperspectral data compressed using an on-board near lossless vector quantization algorithm,” International Journal of Remote Sensing, vol. 26, no. 10, pp. 2163–2195, 2005. View at Publisher · View at Google Scholar · View at Scopus
  24. E. Choi, S. Lee, and C. Lee, “Effects of compression on the classification of hyperspectral images,” in Mathematics and Computers in Science and Engineering, N. E. Mastorakis, V. Mladenov, Z. Bojkovic et al., Eds., pp. 541–546, Heraklion, Greece, 2008. View at Google Scholar
  25. A. Zabala, C. Cea, and X. Pons, “Segmentation and thematic classification of color orthophotos over non-compressed and JPEG 2000 compressed images,” International Journal of Applied Earth Observation and Geoinformation, vol. 15, pp. 92–104, 2012. View at Publisher · View at Google Scholar