Fuzzy super resolution mapping based on Markov random fields

V.A. Tolpekin; N.A.S. Hamm

doi:10.1109/IGARSS.2008.4779134

Fuzzy super resolution mapping based on Markov random fields

V.A. Tolpekin, N.A.S. Hamm

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

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Abstract

Recent research has used Markov Random Fields (MRF) as a method for super-resolution mapping (SRM). This paper investigated the per-pixel uncertainty associated with MRF based SRM. This provided insight into the spatial distribution of uncertainty associated with SRM. Furthermore, the map of per-pixel uncertainty clearly shows the boundary between land-cover classes and this may provide an input for image segmentation. The insight provided by the per-pixel uncertainty together with the class boundaries will be valuable for development of the MRF approach to super-resolution mapping.

Original language	English
Title of host publication	Proceedings of IGARSS 2008
Subtitle of host publication	International Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	II-875 - II-878
ISBN (Electronic)	978-1-4244-2808-3 (CD)
ISBN (Print)	978-1-4244-2807-6
DOIs	https://doi.org/10.1109/IGARSS.2008.4779134
Publication status	Published - 2008

Publication series

Name	IEEE International Geoscience and Remote Sensing Symposium (IGARRS)
Publisher	IEEE
Volume	2008
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Keywords

EOS
ADLIB-ART-1607

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10.1109/IGARSS.2008.4779134

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Tolpekin, V. A., & Hamm, N. A. S. (2008). Fuzzy super resolution mapping based on Markov random fields. In Proceedings of IGARSS 2008: International Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA (pp. II-875 - II-878). (IEEE International Geoscience and Remote Sensing Symposium (IGARRS); Vol. 2008). IEEE. https://doi.org/10.1109/IGARSS.2008.4779134

Tolpekin, V.A. ; Hamm, N.A.S. / Fuzzy super resolution mapping based on Markov random fields. Proceedings of IGARSS 2008: International Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA. Piscataway, NJ, USA : IEEE, 2008. pp. II-875 - II-878 (IEEE International Geoscience and Remote Sensing Symposium (IGARRS)).

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abstract = "Recent research has used Markov Random Fields (MRF) as a method for super-resolution mapping (SRM). This paper investigated the per-pixel uncertainty associated with MRF based SRM. This provided insight into the spatial distribution of uncertainty associated with SRM. Furthermore, the map of per-pixel uncertainty clearly shows the boundary between land-cover classes and this may provide an input for image segmentation. The insight provided by the per-pixel uncertainty together with the class boundaries will be valuable for development of the MRF approach to super-resolution mapping.",

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Tolpekin, VA & Hamm, NAS 2008, Fuzzy super resolution mapping based on Markov random fields. in Proceedings of IGARSS 2008: International Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA. IEEE International Geoscience and Remote Sensing Symposium (IGARRS), vol. 2008, IEEE, Piscataway, NJ, USA, pp. II-875 - II-878. https://doi.org/10.1109/IGARSS.2008.4779134

Fuzzy super resolution mapping based on Markov random fields. / Tolpekin, V.A.; Hamm, N.A.S.
Proceedings of IGARSS 2008: International Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA. Piscataway, NJ, USA: IEEE, 2008. p. II-875 - II-878 (IEEE International Geoscience and Remote Sensing Symposium (IGARRS); Vol. 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Recent research has used Markov Random Fields (MRF) as a method for super-resolution mapping (SRM). This paper investigated the per-pixel uncertainty associated with MRF based SRM. This provided insight into the spatial distribution of uncertainty associated with SRM. Furthermore, the map of per-pixel uncertainty clearly shows the boundary between land-cover classes and this may provide an input for image segmentation. The insight provided by the per-pixel uncertainty together with the class boundaries will be valuable for development of the MRF approach to super-resolution mapping.

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Tolpekin VA, Hamm NAS. Fuzzy super resolution mapping based on Markov random fields. In Proceedings of IGARSS 2008: International Geoscience and Remote Sensing Symposium : Geoscience and remote sensing, the next generation, 6-11 July 2008 Boston, MA, USA. Piscataway, NJ, USA: IEEE. 2008. p. II-875 - II-878. (IEEE International Geoscience and Remote Sensing Symposium (IGARRS)). doi: 10.1109/IGARSS.2008.4779134

Fuzzy super resolution mapping based on Markov random fields

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