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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15448
Title: Use of OBIA for extraction of cadastral parcels
Authors: Khadanga G.
Jain, Kamal
Merugu S.
Rodrigues J.J.P.C.
Siarry P.
Perez G.M.
Tomar R.
Pathan A.
-S.K.Mehta S.
Thampi S.M.
Berretti S.
Gorthi R.P.
Pathan A.-S.K.
Wu J.
Li J.
Jain V.
Rodrigues J.J.P.C.
Atiquzzaman M.
Rodrigues J.J.P.C.
Bedi P.
Kammoun M.H.
Published in: Proceedings of 2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016
Abstract: With 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.
Citation: Proceedings of 2016 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2016, (2016), 2226- 2230
URI: https://doi.org/10.1109/ICACCI.2016.7732382
http://repository.iitr.ac.in/handle/123456789/15448
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Classification
Obia
Object Attribution
Segmentation
ISBN: 9.78E+12
Author Scopus IDs: 57192687087
56658294100
56658583800
Author Affiliations: Khadanga, G., Indian Institute of Technology RoorkeeUttarakhand, India
Jain, K., Indian Institute of Technology RoorkeeUttarakhand, India
Merugu, S., Indian Institute of Technology RoorkeeUttarakhand, India
Appears in Collections:Conference Publications [CE]

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