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Spatial biases analysis and mitigation methods in SMOS images
| dc.contributor.author | Corbella Sanahuja, Ignasi |
| dc.contributor.author | Torres Torres, Francisco |
| dc.contributor.author | Wu, Lin |
| dc.contributor.author | Duffo Ubeda, Núria |
| dc.contributor.author | Durán Martínez, Israel |
| dc.contributor.author | Martín Neira, Manuel |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
| dc.date.accessioned | 2014-03-07T13:55:42Z |
| dc.date.created | 2013 |
| dc.date.issued | 2013 |
| dc.identifier.citation | Corbella, I. [et al.]. Spatial biases analysis and mitigation methods in SMOS images. A: IEEE International Geoscience and Remote Sensing Symposium. "2013 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 21–26, 2013: Melbourne, Australia". Melboune: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 3415-3418. |
| dc.identifier.isbn | 978-1-4799-1114-1 |
| dc.identifier.uri | http://hdl.handle.net/2117/21934 |
| dc.description.abstract | SMOS brightness temperature images show some residual artifacts as a function of spatial directions. Due to having different antenna patterns in each element, even if knowing them perfectly, a minimum reconstruction error inherent to the inversion algorithm exists. On top of that, antenna patterns measurement errors and other effects such as cross-polarization terms, increase the spatial biases. Accurate characterization of these sources of error allows improving the quality of the SMOS images. Good results in this direction are reported. |
| dc.format.extent | 4 p. |
| dc.language.iso | eng |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia |
| dc.subject.lcsh | Ocean engineering |
| dc.subject.lcsh | Soil moisture |
| dc.subject.other | Geophysical image processing |
| dc.subject.other | Geophysical techniques |
| dc.subject.other | Image reconstruction |
| dc.subject.other | Remote sensing |
| dc.title | Spatial biases analysis and mitigation methods in SMOS images |
| dc.type | Conference report |
| dc.subject.lemac | Enginyeria oceanogràfica |
| dc.subject.lemac | Sòls -- Humitat |
| dc.contributor.group | Universitat Politècnica de Catalunya. RF&MW - Grup de Recerca de sistemes, dispositius i materials de RF i microones |
| dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
| dc.identifier.doi | 10.1109/IGARSS.2013.6723562 |
| dc.description.peerreviewed | Peer Reviewed |
| dc.relation.publisherversion | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=06723562 |
| dc.rights.access | Restricted access - publisher's policy |
| local.identifier.drac | 13078286 |
| dc.description.version | Postprint (published version) |
| dc.date.lift | 10000-01-01 |
| local.citation.author | Corbella, I.; Torres, F.; Wu, L.; Duffo, N.; Duran, I.; Martín, M. |
| local.citation.contributor | IEEE International Geoscience and Remote Sensing Symposium |
| local.citation.pubplace | Melboune |
| local.citation.publicationName | 2013 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 21–26, 2013: Melbourne, Australia |
| local.citation.startingPage | 3415 |
| local.citation.endingPage | 3418 |