Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο: https://hdl.handle.net/20.500.14279/19378
Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorMelillos, George-
dc.contributor.authorThemistocleous, Kyriacos-
dc.contributor.authorHadjimitsis, Diofantos G.-
dc.date.accessioned2020-11-12T09:56:12Z-
dc.date.available2020-11-12T09:56:12Z-
dc.date.issued2020-08-26-
dc.identifier.citation8th International Conference on Remote Sensing and Geoinformation of the Environment, 16-20 March 2020, Paphos, Cyprusen_US
dc.identifier.isbn978-151063857-0-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/19378-
dc.description.abstractThis paper focuses results obtained from a field spectroscopy campaigns for detecting underground structures. A number of vegetation indices such as the Modified Simple Ratio (MSR), Renormalized Difference Vegetation Index (RDVI), Optimized Soil Adjusted Vegetation Index (OSAVI) and Red Green Ratio Index (IRG) 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: Area (a) vegetation area covered with the vegetation (barley), in the presence of an underground military structure and Area (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 behaviors and to compare the two testing areas.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© SPIE.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectField Spectroscopyen_US
dc.subjectHistogramsen_US
dc.subjectIRGen_US
dc.subjectMSRen_US
dc.subjectOSAVIen_US
dc.subjectRDVIen_US
dc.subjectRemote Sensingen_US
dc.subjectVegetation Indicesen_US
dc.titleDetecting underground structures in vegetation indices: MSR, RDVI, OSAVI, IRG, 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.conferenceInternational Conference on Remote Sensing and Geoinformation of the Environmenten_US
dc.identifier.doi10.1117/12.2569930en_US
cut.common.academicyear2019-2020en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
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.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-8292-1836-
crisitem.author.orcid0000-0003-4149-8282-
crisitem.author.orcid0000-0002-2684-547X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
CORE Recommender
Δείξε τη σύντομη περιγραφή του τεκμηρίου

Page view(s) 10

367
Last Week
0
Last month
1
checked on 21 Νοε 2024

Google ScholarTM

Check

Altmetric


Αυτό το τεκμήριο προστατεύεται από άδεια Άδεια Creative Commons Creative Commons