Remote mining: from clustering to DTM

García Gutiérrez, Jorge; Martínez Álvarez, F.; Laguna Ruiz, D.; Riquelme Santos, José Cristóbal

Ponencia

dc.creator	García Gutiérrez, Jorge	es
dc.creator	Martínez Álvarez, F.	es
dc.creator	Laguna Ruiz, D.	es
dc.creator	Riquelme Santos, José Cristóbal	es
dc.date.accessioned	2022-12-12T12:16:07Z
dc.date.available	2022-12-12T12:16:07Z
dc.date.issued	2008
dc.identifier.citation	García Gutiérrez, J., Martínez Álvarez, F., Laguna Ruiz, D. y Riquelme Santos, J.C. (2008). Remote mining: from clustering to DTM. En SilviLaser 2008: 8th international conference on LiDAR applications in forest assessment and inventory (389-397), Edinburgh, UK: Bournemouth University.
dc.identifier.isbn	978-0-85538-774-7	es
dc.identifier.uri	https://hdl.handle.net/11441/140325
dc.description.abstract	LIDAR data acquisition is becoming an indispensable task for terrain characterization in large surfaces. In Mediterranean woods this job results hard due to the great variety of heights and forms, as well as sparse vegetation that they present. A new data mining-based approach is proposed with the aim of classifying LIDAR data clouds as a first step in DTM generation. The developed methodology consists in a multi-step iterative process that splits the data into different classes (ground and low/med/high vegetation) by means of a clustering algorithm. This method has been tested on three different areas of the southern Spain with successful results, verging on 80% hits	es
dc.description.sponsorship	Ministerio de Ciencia y Tecnología TIN2007-68084	es
dc.format	application/pdf	es
dc.format.extent	9	es
dc.language.iso	eng	es
dc.publisher	Bournemouth University	es
dc.relation.ispartof	SilviLaser 2008: 8th international conference on LiDAR applications in forest assessment and inventory (2008), pp. 389-397.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	LIDAR	es
dc.subject	DTM	es
dc.subject	Clustering	es
dc.title	Remote mining: from clustering to DTM	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/publishedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos	es
dc.relation.projectID	TIN2007-68084	es
dc.relation.publisherversion	https://geography.swan.ac.uk/silvilaser/poster.htm	es
dc.contributor.group	Universidad de Sevilla. TIC-134: Sistemas Informáticos	es
dc.publication.initialPage	389	es
dc.publication.endPage	397	es
dc.eventtitle	SilviLaser 2008: 8th international conference on LiDAR applications in forest assessment and inventory	es
dc.eventinstitution	Edinburgh, UK	es
dc.relation.publicationplace	Poole, UK	es
dc.contributor.funder	Ministerio de Ciencia Y Tecnología (MCYT). España	es

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