Automated shoreline detection and short term shoreline change analysis from video imagery
Material type:
TextDescription: MSC GIS 2017-2019Subject(s): Dissertation note: MSC GIS 2017-2019 INT
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Project Reports
|
Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | Non Fiction | Not for loan | R-1533 |
Coastalmonitoringisthemostemployedmethodwhichisbeingused to
understandthemechanismswhichcontrolsbeachevolutions.Amongthe
enormousmethodsofoceanmonitoringlikebeachcampaigns,aerialimagery
monitoring,satelliteremotesensingandotherGIStechniques,oneadvanced
andmoreaccuratemethodofcoastalmonitoringinvolvesvideomonitoring
techniques.Thisisonetechniquewhichsbeingdevelopedoveradecadeand
stillgettingmuchpopularityallovertheworldasitallowsthestudyof
coastalenvironmentinacontinuativeandautomaticway.Sothiscanbeused
formonitoringnearshore processesin bothhightemporaland spatial
samplingfrequency,withlowlogisticandcostefforts.Oncomparingwithall
theothermethods,itismorepreciseandaccurate,asitcanbedeployedover
lowcost,anditprovidesmorerealtimedatawithoutanytimeconsumption.
Climaticandseasonalvariationsoverthenearshoreregioncanbeeasily
obtainedandanalyzed overalarge areaofthecoastlineevenly.Many
parametersofinterestwhichcanbestudiedinrealtimewiththistechnique
,whichincludesevolutionoftheshorelineandsubmergedbars,wavedirection,
stormimpactandseasonalchanges.
Thepurposeofthisstudyincludesextractionofshorelineandanalyzingits
changesovertimebyusingthevideoremotesensingtechniques.Shoreline
whichisthe zoneofcontactbetweenthebodyofwaterandland,whichisan
interfacewhichchangesovertimeduetovariousbiological,physical,chemical
anddynamicalmethods.Extractingtheshorelineandanalyzingitsvariations
over aregulartimeperiodcanbeusedtounderstandtherateofcoastal
erosionsthathappenedduetovariouscauses,bothnaturalandunderhuman
interventions.Theentirestudyisconductedbyusingtimeximageswhichare
obtainedfromvideoimagery.Forprocessing,extractingandanalyzingthereal
timedataMatlabisused.Herethesnapshotsfrom videodataatatime
scheduleof10minutes,inwhichthefrequencyofthevideodataisreducedto
2Hztounderstandthealongshoreandoffshoremorphologicalchanges.
MSC GIS 2017-2019 INT Radhakrishnan T
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