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Authors: Lemonia Ragia 1 and Froso Sarri 2

Affiliations: 1 School of Architecture, Technical University of Crete, Campus Kounoupidiana, 73100 Chania, Crete and Greece ; 2 School of Electronic and Computer Engineering, Technical University of Crete, Campus Kounoupidiana, 73100 Chania, Crete and Greece

ISBN: 978-989-758-371-1

Keyword(s): Close-range Photogrammetry, Cadaster, Image Analysis, Object Extraction.

Abstract: In this paper we propose a simple, low-cost, fast and acceptable method of surveying which contributes to the cost reduction of the service and makes it affordable for all citizens. The approach described in this paper results in taking semi-automatically the geometry of a spatial object in a parcel for cadastre purposes, namely swimming pool. The most innovative part of this approach is that we extract the geometry from images using an uncalibrated camera. Normally for professional tasks we use metric or stereo cameras. The approach is focused on simplicity and automation and little intervention of the user is required. It takes into account images taken with an uncalibrated digital camera and cadastral spatial data. The camera is like an input device for spatial data acquisition. Digital images acquired by a non-professional camera are usually taken by a person, without any specific knowledge for the images or usage of the cameras. The basic concept is that the owner of a parcel can update the data of his property by himself. The data are imported at the cadastre maps it the end. (More)

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Paper citation in several formats:
Ragia, L. and Sarri, F. (2019). Homography and Image Processing Techniques for Cadastre Object Extraction.In Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-371-1, pages 305-310. DOI: 10.5220/0007772203050310

@conference{gistam19,
author={Lemonia Ragia. and Froso Sarri.},
title={Homography and Image Processing Techniques for Cadastre Object Extraction},
booktitle={Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2019},
pages={305-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007772203050310},
isbn={978-989-758-371-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Homography and Image Processing Techniques for Cadastre Object Extraction
SN - 978-989-758-371-1
AU - Ragia, L.
AU - Sarri, F.
PY - 2019
SP - 305
EP - 310
DO - 10.5220/0007772203050310

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