| dc.contributor.author | Villalón-Turrubiates, Iván E. | |
| dc.date.accessioned | 2016-04-04T17:53:21Z | |
| dc.date.accessioned | 2023-03-21T19:29:49Z | |
| dc.date.available | 2016-04-04T17:53:21Z | |
| dc.date.available | 2023-03-21T19:29:49Z | |
| dc.date.issued | 2007 | |
| dc.identifier.citation | Iván E. Villalón-Turrubiates (2007). “Dynamical Analysis of Hydrological Indexes Extracted from Remote Sensing Imagery: An Introductory Study”, en Proceedings of the 4th IEEE International Workshop on the Analysis of Multi-Temporal Remote Sensing Imagery (MULTITEMP), Leuven, Bélgica. | es |
| dc.identifier.isbn | 1-4244-0846-6 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12032/74831 | |
| dc.description | A new intelligent computational paradigm based on filtering techniques modified to enhance the quality of reconstruction of the physical characteristics of environmental electronic maps extracted from the large scale remote sensing imagery is proposed. First, the problem-oriented modification of the previously proposed fused Bayesian-regularization enhanced radar imaging method is performed to enable it to reconstruct remote sensing signatures of interest. Second, the extraction of the so-called hydrological electronic maps and the analysis of its dynamics are proposed. Finally, simulation results of hydrological remote sensing signatures reconstruction from enhanced real-world environmental images are reported to verify the efficiency of the proposed approach. | es |
| dc.description.sponsorship | CINVESTAV | es |
| dc.language.iso | eng | es |
| dc.publisher | IEEE | es |
| dc.relation.ispartofseries | Proceedings of the 4th IEEE International Workshop on the Analysis of Multi-Temporal Remote Sensing Imagery (MULTITEMP); | |
| dc.rights.uri | http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf | es |
| dc.subject | Dynamical Analysis | es |
| dc.subject | Hydrological Indexes | es |
| dc.subject | Remote Sensing Imagery | es |
| dc.title | Dynamical Analysis of Hydrological Indexes Extracted from Remote Sensing Imagery: An Introductory Study | es |
| dc.type | info:eu-repo/semantics/conferencePaper | es |
