| dc.contributor.author | Villalón-Turrubiates, Iván E. | |
| dc.date.accessioned | 2016-04-21T18:16:40Z | |
| dc.date.available | 2016-04-21T18:16:40Z | |
| dc.date.issued | 2015-07 | |
| dc.identifier.citation | Ivan E. Villalon-Turrubiates, “A Dynamical Model to Classify the Content of Multitemporal Images employing Distributed Computing Techniques”, in Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MULTITEMP), IEEE, Annecy Francia, 2015. | es |
| dc.identifier.isbn | 978-1-4799-7929-5 | |
| dc.identifier.uri | http://hdl.handle.net/11117/3304 | |
| dc.description | An intelligent post-processing paradigm based on the use of a dynamical filtering technique modified to enhance the reconstruction quality of remote sensing indexes using multitemporal images and distributed computing techniques is proposed. As a matter of particular study, a robust algorithm is reported for the analysis of the dynamic behavior of geophysical signatures extracted from remotely sensed scenes. The simulation results prove the efficiency of the proposed technique along with the computational implementation based on a big-data framework using distributed processing. | es |
| dc.description.sponsorship | ITESO, A.C. | es |
| dc.language.iso | eng | es |
| dc.publisher | Information Resources Management Association | es |
| dc.relation.ispartofseries | International Workshop on the Analysis of Multitemporal Remote Sensing Images (MULTITEMP);8th | |
| dc.rights.uri | http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf | es |
| dc.subject | Remote Sensing | es |
| dc.subject | Multispectral Imaging | es |
| dc.subject | Geodynamics | es |
| dc.subject | Distributed Computing | es |
| dc.title | A Dynamical Model to Classify the Content of Multitemporal Images employing Distributed Computing Techniques | es |
| dc.type | info:eu-repo/semantics/conferencePaper | es |
| rei.revisor | 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MULTITEMP) | |
| rei.peerreviewed | Yes | es |
