Monitoring Agricultural Fields Using an Optimisation of the Difference of Covariance Matrices for Polsar
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor | Señales, Sistemas y Telecomunicación | es_ES |
dc.contributor.author | Silva, Cristian | - |
dc.contributor.author | Marino, Armando | - |
dc.contributor.author | Lopez-Sanchez, Juan M. | - |
dc.contributor.author | Cameron, Iain | - |
dc.contributor.other | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | es_ES |
dc.contributor.other | Universidad de Alicante. Instituto Universitario de Investigación Informática | es_ES |
dc.date.accessioned | 2019-02-15T08:18:32Z | - |
dc.date.available | 2019-02-15T08:18:32Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 22-27 July 2018, 6619-6622. doi:10.1109/IGARSS.2018.8519267 | es_ES |
dc.identifier.isbn | 978-1-5386-7150-4 | - |
dc.identifier.uri | http://hdl.handle.net/10045/88288 | - |
dc.description.abstract | SAR polarimetry (PolSAR) can play an important role in monitoring agricultural fields both in terms of improving detection of specific plants conditions and providing physical information regarding the change. Such information can be used to help retrieving the phenological stage and eventually identifying stress conditions. In this work, a new change detection based on PolSAR data is first tested over time series of images acquired over agricultural fields. The methodology is based on the use of the normalised difference between covariance matrices acquired at two different instants. A diagonalisation of such matrix allows identifying the scattering mechanisms that suffer the largest change. The methodology is tested exploiting C-band quad-polarimetric RADARSAT-2 data over rice fields in Sevilla, South-West of Spain. | es_ES |
dc.description.sponsorship | This research was partially supported by a mobility Scholarship from the Santander Bank, UK, and the Project EO4cultivar, led by Environment Systems Ltd and co-funded by the UK Space Agency. This work was partially supported by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO), the State Agency of Research (AEI) and the European Funds for Regional Development (EFRD) under Project TEC2017-85244-C2-1-P. | es_ES |
dc.language | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.rights | © 2018 IEEE | es_ES |
dc.subject | Agriculture | es_ES |
dc.subject | Polarimetry | es_ES |
dc.subject | Change detection | es_ES |
dc.subject | Synthetic aperture radar | es_ES |
dc.subject.other | Teoría de la Señal y Comunicaciones | es_ES |
dc.title | Monitoring Agricultural Fields Using an Optimisation of the Difference of Covariance Matrices for Polsar | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.doi | 10.1109/IGARSS.2018.8519267 | - |
dc.relation.publisherversion | https://doi.org/10.1109/IGARSS.2018.8519267 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-85244-C2-1-P | - |
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Archivo | Descripción | Tamaño | Formato | |
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2018_Silva_etal_IGARSS_preprint.pdf | Preprint (acceso abierto) | 4,31 MB | Adobe PDF | Abrir Vista previa |
2018_Silva_etal_IGARSS_final.pdf | Versión final (acceso restringido) | 4,32 MB | Adobe PDF | Abrir Solicitar una copia |
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