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MERGING MULTISPECTRAL AND PANCROMATIC BANDS OF LANDSAT USING COKRIGING

Gonzalez, Diana Galindo, Costa, Ana Cristina

First published: 2013-06-20https://doi.org/10.5593/sgem2013/bb2.v2/s10.013View metrics

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Title
MERGING MULTISPECTRAL AND PANCROMATIC BANDS OF LANDSAT USING COKRIGING
Authors
Gonzalez, Diana Galindo, Costa, Ana Cristina
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2013
Pages
639 - 646 pp
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
References28

  1. Piella G. A general framework for multiresolution image fusion: From pixels to regions, Information Fusion, vol. 4/issue 4, pp 259– 280, 2003.

  2. Zhang J. Mu lti-source remote sensing data fusion: status and trends, International Journal of Image and Data Fusion, vol. 1/issue 1, pp 5–24, 2010.

  3. Thomas C., Ranchin T., Wald L. & Chanussot J. Synthesis of multispectral images to high spatial resolution: A Critical review of fusion methods based on remote sensing physics, IEEE Transactions on Geoscience and Remote Sensing, vol. 46/issue 5, pp1301– 1312, 2008.

  4. Zhang Y. Understanding image fusion, Photogrammetric Engineering and Remote Sensing, vol. 70/issue 6, pp 657 –661, 2004. GeoConference on Informatics, Geoinformatics and Remote Sensing

  5. Van der Meer F. Remote-sensing image analysis and geostatistics, International Journal of Remote Sensing, vol. 33/issue 18, pp 5644–5676, 2012.

  6. Memarsadeghi N., Le-Moigne J., Mount D.M. & Morisette J. A new approach to image fusion based on cokriging, 8th International Conference on Information Fusion, USA, vol.1, 8 pp, 2005.

  7. Memarsadeghi N., Le-Moigne J. & Mount D.M. Image fusion using cokriging, Geoscience and Remote Sensing Symposium, IGARSS 2006, USA, pp 2518 – 2521, 2006.

  8. Pardo-Iguzquiza E., Chica-Olmo M. & Atkinson P.M. Downscaling cokriging for image sharpening, Remote Sensing of Environment, vol. 102/issues 1-2, pp 86 – 98, 2006.

  9. Pardo-Iguzquiza E., Rodríguez-Galiano V.F. & Chica-Olmo M. & Atkinson P.M. Image fusion by spatially adaptive filtering using downscaling cokriging, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 66/issue 3, pp 337– 346, 2011.

  10. Carvalho J., Delgado-García J. & Soares A. Merging Landsat and SPOT digital data using stochastic simulation with reference images, 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Caetano M. & Painho M. (Eds.), Portugal, pp 567– 577, 2006.

  11. Meng Q., Borders B. & Madden M. High-resolution satellite image fusion using regression kriging, International Journal of Remote Sensing, vol. 31/issue 7, pp 1857 – 1876, 2010.

  12. Irish R.R. Landsat 7 Science Data Users Handbook, Landsat Project Science Office, NASA Goddard Space Flight Center, Greenbelt (Maryland), USA, Report, 186 pp, 2008.

  13. Goovaerts P. Geostatistics for Natural Resources Evaluation, Oxford University Press, New York, 1997.

  14. Goovaerts P. Ordinary cokriging revisited, Mathematical Geology, vol. 30/issue 1, pp 21– 42, 1998.

  15. Piella G. A general framework for multiresolution image fusion: From pixels to regions, Information Fusion, vol. 4/issue 4, pp 259– 280, 2003.

  16. Zhang J. Mu lti-source remote sensing data fusion: status and trends, International Journal of Image and Data Fusion, vol. 1/issue 1, pp 5–24, 2010.

  17. Thomas C., Ranchin T., Wald L. & Chanussot J. Synthesis of multispectral images to high spatial resolution: A Critical review of fusion methods based on remote sensing physics, IEEE Transactions on Geoscience and Remote Sensing, vol. 46/issue 5, pp1301– 1312, 2008.

  18. Zhang Y. Understanding image fusion, Photogrammetric Engineering and Remote Sensing, vol. 70/issue 6, pp 657 –661, 2004. GeoConference on Informatics, Geoinformatics and Remote Sensing

  19. Van der Meer F. Remote-sensing image analysis and geostatistics, International Journal of Remote Sensing, vol. 33/issue 18, pp 5644–5676, 2012.

  20. Memarsadeghi N., Le-Moigne J., Mount D.M. & Morisette J. A new approach to image fusion based on cokriging, 8th International Conference on Information Fusion, USA, vol.1, 8 pp, 2005.

  21. Memarsadeghi N., Le-Moigne J. & Mount D.M. Image fusion using cokriging, Geoscience and Remote Sensing Symposium, IGARSS 2006, USA, pp 2518 – 2521, 2006.

  22. Pardo-Iguzquiza E., Chica-Olmo M. & Atkinson P.M. Downscaling cokriging for image sharpening, Remote Sensing of Environment, vol. 102/issues 1-2, pp 86 – 98, 2006.

  23. Pardo-Iguzquiza E., Rodríguez-Galiano V.F. & Chica-Olmo M. & Atkinson P.M. Image fusion by spatially adaptive filtering using downscaling cokriging, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 66/issue 3, pp 337– 346, 2011.

  24. Carvalho J., Delgado-García J. & Soares A. Merging Landsat and SPOT digital data using stochastic simulation with reference images, 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Caetano M. & Painho M. (Eds.), Portugal, pp 567– 577, 2006.

  25. Meng Q., Borders B. & Madden M. High-resolution satellite image fusion using regression kriging, International Journal of Remote Sensing, vol. 31/issue 7, pp 1857 – 1876, 2010.

  26. Irish R.R. Landsat 7 Science Data Users Handbook, Landsat Project Science Office, NASA Goddard Space Flight Center, Greenbelt (Maryland), USA, Report, 186 pp, 2008.

  27. Goovaerts P. Geostatistics for Natural Resources Evaluation, Oxford University Press, New York, 1997.

  28. Goovaerts P. Ordinary cokriging revisited, Mathematical Geology, vol. 30/issue 1, pp 21– 42, 1998.

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