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dc.contributor.authorKhadanga G.-
dc.contributor.authorJain, Kamal-
dc.contributor.authorMerugu S.-
dc.contributor.editorRodrigues J.J.P.C.-
dc.contributor.editorSiarry P.-
dc.contributor.editorPerez G.M.-
dc.contributor.editorTomar R.-
dc.contributor.editorPathan A.-
dc.contributor.editor-S.K.Mehta S.-
dc.contributor.editorThampi S.M.-
dc.contributor.editorBerretti S.-
dc.contributor.editorGorthi R.P.-
dc.contributor.editorPathan A.-S.K.-
dc.contributor.editorWu J.-
dc.contributor.editorLi J.-
dc.contributor.editorJain V.-
dc.contributor.editorRodrigues J.J.P.C.-
dc.contributor.editorAtiquzzaman M.-
dc.contributor.editorRodrigues J.J.P.C.-
dc.contributor.editorBedi P.-
dc.contributor.editorKammoun M.H.-
dc.date.accessioned2020-12-02T11:38:41Z-
dc.date.available2020-12-02T11:38:41Z-
dc.date.issued2016-
dc.identifier.citationProceedings of 2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016, (2016), 2226- 2230-
dc.identifier.isbn9.78E+12-
dc.identifier.urihttps://doi.org/10.1109/ICACCI.2016.7732382-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/15448-
dc.description.abstractWith the increased availability of High Resolution Satellite Imagery (HRSI), the Object based Image Analysis (OBIA) has now become an indispensable tool for analysis and modeling in Remote Sensing technology. The OBIA basically consist of image segmentation, object attribution and classification. The OBIA analysis has better results than the traditional pixel based analysis because the OBIA analysis is not only based on the spectral signature of the pixels but also on the statistical, geometric and topographical feature of the objects. The high resolution imagery of the study area is taken up and the analysis of segmentation, object attribution and classification was done. The resulting layer was exported as a vector layer in.shp format. The same was exported to QGIS and the.shp file clearly indicates the shape of the individual land parcels. The extracted parcels were comparable with the original cadastral vector layer of parcels. Thus OBIA can be treated as an automated procedure to extract the cadastral land parcels from high resolution imagery. © 2016 IEEE.-
dc.language.isoen_US-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.ispartofProceedings of 2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016-
dc.subjectClassification-
dc.subjectObia-
dc.subjectObject Attribution-
dc.subjectSegmentation-
dc.titleUse of OBIA for extraction of cadastral parcels-
dc.typeConference Paper-
dc.scopusid57192687087-
dc.scopusid56658294100-
dc.scopusid56658583800-
dc.affiliationKhadanga, G., Indian Institute of Technology RoorkeeUttarakhand, India-
dc.affiliationJain, K., Indian Institute of Technology RoorkeeUttarakhand, India-
dc.affiliationMerugu, S., Indian Institute of Technology RoorkeeUttarakhand, India-
dc.identifier.conferencedetails5th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016, 21-24 September 2016-
Appears in Collections:Conference Publications [CE]

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