A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS

A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS

In the framework of the development of a web site devoted to the documentation and monitoring of the cultural heritage (above all monumental buildings), a semiautomatic method for anomalous change detection has been set up. The method uses the grouping of the image difference values, to detect both...

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Main Authors: G. Artese, V. Achilli, M. Fabris, M. Perrelli
Format: Article
Language:English
Published: Copernicus Publications 2012-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/263/2012/isprsarchives-XXXIX-B7-263-2012.pdf
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spelling doaj-21c4f20ed5a34f12bc5295524cd3116d2020-11-25T01:00:41ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-08-01XXXIX-B726326810.5194/isprsarchives-XXXIX-B7-263-2012A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMSG. Artese0V. Achilli1M. Fabris2M. Perrelli3Land Planning Dept. - University of Calabria - Ponte Bucci cubo 45B - 87036 - Rende - ItalyDept. - University of Padua - Via Marzolo,1-35131 Padua, ItalyDept. - University of Padua - Via Marzolo,1-35131 Padua, ItalyLand Planning Dept. - University of Calabria - Ponte Bucci cubo 45B - 87036 - Rende - ItalyIn the framework of the development of a web site devoted to the documentation and monitoring of the cultural heritage (above all monumental buildings), a semiautomatic method for anomalous change detection has been set up. The method uses the grouping of the image difference values, to detect both small and diffused changes. Three tests are described to evaluate the performances of the method. The results show that good performances are obtained in case of cloudy days, while the presence of shadows requires the interpretation of an operator to distinguish true and false changes.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/263/2012/isprsarchives-XXXIX-B7-263-2012.pdf
collection DOAJ
language English
format Article
sources DOAJ
author G. Artese
V. Achilli
M. Fabris
M. Perrelli
spellingShingle G. Artese
V. Achilli
M. Fabris
M. Perrelli
A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet G. Artese
V. Achilli
M. Fabris
M. Perrelli
author_sort G. Artese
title A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS
title_short A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS
title_full A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS
title_fullStr A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS
title_full_unstemmed A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS
title_sort semiautomatic anomalous change detection method for monitoring aims
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2012-08-01
description In the framework of the development of a web site devoted to the documentation and monitoring of the cultural heritage (above all monumental buildings), a semiautomatic method for anomalous change detection has been set up. The method uses the grouping of the image difference values, to detect both small and diffused changes. Three tests are described to evaluate the performances of the method. The results show that good performances are obtained in case of cloudy days, while the presence of shadows requires the interpretation of an operator to distinguish true and false changes.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/263/2012/isprsarchives-XXXIX-B7-263-2012.pdf
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