Remote Sensing Signatures Extraction for Hydrological Resources Management Applications

dc.creatorVillalón-Turrubiates, Iván E.
dc.date2016-04-20T16:49:20Z
dc.date2016-04-20T16:49:20Z
dc.date2009
dc.date.accessioned2023-07-21T22:10:26Z
dc.date.available2023-07-21T22:10:26Z
dc.identifierIván E. Villalón-Turrubiates, “Remote Sensing Signatures Extraction for Hydrological Resources Management Applications”, en Proceedings of the ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Rabat Marruecos, 2009, pp. 567-570.
dc.identifier978-1-4244-3807-5
dc.identifierhttp://hdl.handle.net/11117/3292
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7761019
dc.descriptionThe extraction of hydrological characteristics from a particular geographical region through remote sensing (RS) data processing allows the generation of electronic signature maps, which are the basis to create a high-resolution collection atlas processed in time for a particular geographical zone. This can be achieved using a novel tool developed for supervised segmentation and classification of hydrological remote sensing signatures (HRSS) via the combination of both statistical strategies defined as the Weighted Order Statistics (WOS) and the Minimum Distance to Means (MDM) techniques, unifying their particular advantages. This is referred to as the Hydrological Signatures Classification (HSC) method. The extraction of HRSS from real-world high-resolution environmental RS imagery is reported to probe the efficiency of the developed technique in hydrological resources management applications.
dc.descriptionUniversidad de Guadalajara
dc.formatapplication/pdf
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relationProceedings of the ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);
dc.rightshttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf
dc.subjectImage Processing
dc.subjectSignal Processing
dc.subjectRemote Sensing
dc.subjectImage Classification
dc.subjectGeographical Information
dc.titleRemote Sensing Signatures Extraction for Hydrological Resources Management Applications
dc.typeinfo:eu-repo/semantics/conferencePaper


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