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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/27688
Title: Agriculture Parcel Boundary Detection from Remotely Sensed Images
Authors: Khadanga G.
Jain, Kamal
Chaudhuri B.B.
Nakagawa M.
Khanna P.
Kumar S.
Published in: Advances in Intelligent Systems and Computing
3rd International Conference on Computer Vision and Image Processing, CVIP 2018
Abstract: The object-based image analysis (OBIA) is extensively used nowadays for classification of high-resolution satellite images (HRSI). In OBIA, the analysis is based on a group of pixels known as objects. It differs from the traditional pixels-based methodology, where individual pixels are analyzed. In OBIA, the image analysis consists of image segmentation, object attribution, and classification. The segmentation process thus identifies a group of pixels and are known as objects. These objects are taken for further analysis. Thus segmentation is an important step in OBIA. In order to find out the boundary of agriculture parcels, a two-step process is followed. First, the segmentation of the images is done using the statistical region merging (SRM) technique. Then the boundary information and center of the segmentation are found out using MATLAB. The best fit segment was found out using trial and errors. The extracted boundary information is very encouraging and it matches the parcel boundaries recorded in revenue registers. The completeness and precision analysis of the plots are also quite satisfactory. ¬© 2020, Springer Nature Singapore Pte Ltd.
Citation: Advances in Intelligent Systems and Computing (2020), 1022 AISC: 307-312
URI: https://doi.org/10.1007/978-981-32-9088-4_26
http://repository.iitr.ac.in/handle/123456789/27688
Issue Date: 2020
Publisher: Springer Science and Business Media Deutschland GmbH
Keywords: Cadastral parcel
HRSI
MATLAB
OBIA
Segmentation
ISBN: 9789813290877
ISSN: 21945357
Author Scopus IDs: 57192687087
56658294100
Author Affiliations: Khadanga, G., Civil Engineering Department, Geomatics Group, Indian Institute of Technology Roorkee, Roorkee, India
Jain, K., Civil Engineering Department, Geomatics Group, Indian Institute of Technology Roorkee, Roorkee, India
Funding Details: 
Corresponding Author: Khadanga, G.; Civil Engineering Department, India; email: ganesh@nic.in
Appears in Collections:Conference Publications [CE]

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