Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1126
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dc.contributor.authorallFabris, M.; Dipartimento di Fisica, Settore Geofisica, Università degli Studi di Bologna, Italyen
dc.contributor.authorallPesci, A.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italiaen
dc.date.accessioned2006-04-20T11:04:35Zen
dc.date.available2006-04-20T11:04:35Zen
dc.date.issued2005-12en
dc.identifier.urihttp://hdl.handle.net/2122/1126en
dc.description.abstractAutomated procedures for photogrammetric image processing and Digital Elevation Models (DEM) extraction yield high precision terrain models in a short time, reducing manual editing; their accuracy is strictly related to image quality and terrain features. After an analysis of the performance of the Digital Photogrammetric Workstation (DPW) 770 Helava, the paper compares DEMs derived from different surveys and registered in the same reference system. In the case of stable area, the distribution of height residuals, their mean and standard deviation values, indicate that the theoretical accuracy is achievable automatically when terrain is characterized by regular morphology. Steep slopes, corrugated surfaces, vegetation and shadows can degrade results even if manual editing procedures are applied. The comparison of multi-temporal DEMs on unstable areas allows the monitoring of surface deformation and morphological changes.en
dc.format.extent790632 bytesen
dc.format.mimetypeapplication/pdfen
dc.language.isoEnglishen
dc.relation.ispartofAnnals of Geophysicsen
dc.relation.ispartofseries6/48 (2005)en
dc.subjectdigital photogrammetryen
dc.subjectautomatic processingen
dc.subjectDEMen
dc.subjectprecisionen
dc.subjectmonitoringen
dc.titleAutomated DEM extraction in digital aerial photogrammetry: precisions and validation for mass movement monitoringen
dc.typearticleen
dc.type.QualityControlPeer-revieweden
dc.subject.INGV04. Solid Earth::04.02. Exploration geophysics::04.02.05. Downhole, radioactivity, remote sensing, and other methodsen
dc.subject.INGV04. Solid Earth::04.02. Exploration geophysics::04.02.07. Instruments and techniquesen
dc.subject.INGV05. General::05.04. Instrumentation and techniques of general interest::05.04.99. General or miscellaneousen
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HARALICK (1987): Relational matching, Appl. Opt., 26 (10), 1845-1851. TANG, L. and C. HEIPKE (1996): Automatic relative orientation of aerial images, Photogramm. Eng. Remote Sensing, 62 (1), 47-55. VANWESTEN, C J. and F. LULIE GETAHUN (2003): Analyzing the evolution of the Tessina landslide using aerial photographs and digital elevation models, Geomorphol., 54, 77-89. WANG, Y. (1998): Principles and applications of structural image matching, Photogramm. Remote Sensing, 53, 154-165.en
dc.description.journalTypeJCR Journalen
dc.description.fulltextopenen
dc.contributor.authorFabris, M.en
dc.contributor.authorPesci, A.en
dc.contributor.departmentDipartimento di Fisica, Settore Geofisica, Università degli Studi di Bologna, Italyen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italiaen
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia-
crisitem.author.orcid0000-0003-1863-3132-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent04. Solid Earth-
crisitem.classification.parent04. Solid Earth-
crisitem.classification.parent05. General-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
Appears in Collections:Annals of Geophysics
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