ReI

Repositorio Institucional del ITESO

Multispectral Classification of Remote Sensing Imagery for Archaeological Land Use Analysis: Prospective Study

Manakin: DSpace XMLUI Project v2

Mostrar el registro sencillo del ítem

dc.contributor.author Villalón-Turrubiates, Iván E.
dc.contributor.author Llovera-Torres, María J.
dc.date.accessioned 2016-04-21T15:26:02Z
dc.date.available 2016-04-21T15:26:02Z
dc.date.issued 2010-07
dc.identifier.citation Iván E. Villalón-Turrubiates y María J. Llovera-Torres, “Multispectral Classification of Remote Sensing Imagery for Archaeological Land Use Analysis: Prospective Study”, in Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Global Vision for Local Action, Honolulu, Hawaii, 2010, pp. 323-326. es
dc.identifier.isbn 978-1-4244-9565-8
dc.identifier.uri http://hdl.handle.net/11117/3295
dc.description Much of human history can be traced through the impacts of human actions upon the environment. The use of remote sensing technology offers the archeologist the opportunity to detect these impacts which are often invisible to the naked eye. The extraction of remote sensing signatures from a particular geographical region allows the generation of geophysical signature maps; this can be achieved using an accurate and recently developed multispectral image classification approach based on pixel statistics for the class description, which is referred to as the Weighted Pixel Statistics method. This paper presents the prospective study of the effectiveness that this approach provides for supervised segmentation and classification of sensed archaeological signatures for land use analysis. The results obtained with this study uses real multispectral scenes obtained with remote sensing techniques (high-resolution synthetic aperture radar) to probe the efficiency of the classification technique. es
dc.description.sponsorship Programa de Mejoramiento del Profesorado PROMEP es
dc.description.sponsorship Universidad de Guadalajara es
dc.description.sponsorship Universidad Autónoma de San Luis Potosí es
dc.language.iso eng es
dc.publisher Institute of Electrical and Electronics Engineers es
dc.relation.ispartofseries 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Global Vision for Local Action;
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 Data es
dc.subject Multispectral Image Classification es
dc.subject Weighted Pixel Statistics es
dc.subject Archaeological Land Use es
dc.title Multispectral Classification of Remote Sensing Imagery for Archaeological Land Use Analysis: Prospective Study es
dc.type info:eu-repo/semantics/conferencePaper es
rei.revisor 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Global Vision for Local Action
rei.peerreviewed Yes es


Archivos en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Buscar en todo


Listar

Mi cuenta