Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/19392
DC FieldValueLanguage
dc.contributor.authorMelillos, George-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.date.accessioned2020-11-13T07:31:10Z-
dc.date.available2020-11-13T07:31:10Z-
dc.date.issued2020-04-24-
dc.identifier.citationDetection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 27 April - 8 May 2020, United Statesen_US
dc.identifier.isbn978-151063613-2-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/19392-
dc.description.abstractThis paper focuses results obtained from a field spectroscopy campaigns for detecting underground structures. A number of vegetation indices such as the Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), Enhanced Vegetation Index (EVI) and Ratio Vegetation Index (RVI) were utilized for the development of a vegetation index-based procedure aiming at the detection of underground military structures by using existing vegetation indices. The measurements were taken at the following test areas such as: (a) vegetation area covered with the vegetation (barley), in the presence of an underground military structure (b) vegetation area covered with the vegetation (barley), in the absence of an underground military structure. For this purpose was using histograms to obtain useful information about Vegetation Indices spectral behaviours and to compare the two testing areas.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© SPIE.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEVIen_US
dc.subjectField Spectroscopyen_US
dc.subjectHistogramsen_US
dc.subjectNDVIen_US
dc.subjectRemote sensingen_US
dc.subjectRVIen_US
dc.subjectSRen_US
dc.subjectVegetation indicesen_US
dc.titleDetecting underground structures in vegetation indices time series using histogramsen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationERATOSTHENES Centre of Excellenceen_US
dc.subject.categoryCivil Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceDetection and Sensing of Mines, Explosive Objects, and Obscured Targetsen_US
dc.identifier.doi10.1117/12.2557889en_US
cut.common.academicyear2019-2020en_US
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-8292-1836-
crisitem.author.orcid0000-0002-2684-547X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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