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Technical Commission VII (B7)

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Bibliographic data

fullscreen: Technical Commission VII (B7)

Multivolume work

Persistent identifier:
1663813779
Title:
XXII ISPRS Congress 2012
Sub title:
Melbourne, Australia, 25 August-1 September 2012
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663813779
Language:
English
Additional Notes:
Kongress-Thema: Imaging a sustainable future
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Document type:
Multivolume work

Volume

Persistent identifier:
1663821976
Title:
Technical Commission VII
Scope:
546 Seiten
Year of publication:
2013
Place of publication:
Red Hook, NY
Publisher of the original:
Curran Associates, Inc.
Identifier (digital):
1663821976
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(39,B7)
Language:
English
Additional Notes:
Erscheinungsdatum des Originals ist ermittelt.
Literaturangaben
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Corporations:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Adapter:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Founder of work:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Other corporate:
International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne
International Society for Photogrammetry and Remote Sensing
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2019
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
[VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS G. Artese, V. Achilli, M. Fabris, M. Perrelli
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XXII ISPRS Congress 2012
  • Technical Commission VII (B7)
  • Cover
  • Title page
  • TABLE OF CONTENTS
  • International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Volume XXXIX, Part B7, Commission VII - elSSN 2194-9034
  • [VII/1: PHYSICAL MODELLING AND SIGNATURES IN REMOTE SENSING]
  • [VII/2: SAR INTERFEROMETRY]
  • [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]
  • [VII/4: METHODS FOR LAND COVER CLASSIFICATION]
  • [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]
  • FOREST RESOURCES STUDY IN MONGOLIA USING ADVANCED SPATIAL TECHNOLOGIES D. Amarsaikhan, M. Saandar, V. Battsengel, Sh. Amarjargal
  • A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR MONITORING AIMS G. Artese, V. Achilli, M. Fabris, M. Perrelli
  • SEASONAL DIFFERENCES IN SPATIAL SCALES OF CHLOROPHYLL-A CONCENTRATION IN LAKE TAIHU, CHINA Ying Bao, Qingjiu Tian, Shaojie Sun, Hongwei Wei, Jia Tian
  • DETERMINATION OF MAGNITUDE AND DIRECTION OF LAND USE/ LAND COVER CHANGES IN TERKOS WATER BASIN, ISTANBUL F. Bektas Balcik, C. Goksel
  • KERNEL-COMPOSITION FOR CHANGE DETECTION IN MEDIUM RESOLUTION REMOTE SENSING DATA Andreas Ch. Braun, Uwe Weidner, Stefan Hinz
  • METHODS FOR MULTITEMPORAL ANALYSIS OF SATELLITE DATA AIMED AT ENVIRONMENTAL RISK MONITORING M. Caprioli, A. Scognamiglio
  • MULTI-TEMPORAL SAR CHANGE DETECTION AND MONITORING S. Hachicha, F. Chaabane
  • 3D BUILDING CHANGE DETECTION USING HIGH RESOLUTION STEREO IMAGES AND A GIS DATABASE G. R. Dini, K. Jacobsen, F. Rottensteiner, M. Al Rajhi, C Heipke
  • IDENTIFYING BUILDING CHANGE USING HIGH RESOLUTION POINT CLOUDS - AN OBJECT-BASED APPROACH Steve du Plessis
  • AN INVESTIGATION OF AUTOMATIC CHANGE DETECTION FOR TOPOGRAPHIC MAP UPDATING Patricia Duncan & Julian Smit
  • CEST ANALYSIS: AUTOMATED CHANGE DETECTION FROM VERY-HIGH-RESOLUTION REMOTE SENSING IMAGES Manfred Ehlers, Sascha Klonus, Thomas Jarmer, Natalia Sofina, Ulrich Michel, Peter Reinartz, Beril Sirmacek
  • AUTOMATIC MOVING VEHICLE'S INFORMATION EXTRACTION FROM ONE-PASS WORLDVIEW-2 SATELLITE IMAGERY Rakesh Kumar Mishra
  • ENVIRONMENTAL CHANGES ANALYSIS IN BUCHAREST CITY USING CORONA, SPOT HRV AND IKONOS IMAGES Ioan Noaje, Ion Gr. Sion
  • SEMI-AUTOMATED CLOUD/SHADOW REMOVAL AND LAND COVER CHANGE DETECTION USING SATELLITE IMAGERY A. K. Sah, B. P. Sah, K. Honji, N. Kubo, S. Senthil
  • ON THE USE OF DUAL-CO-POLARIZED TERRASAR-X DATA FOR WETLAND MONITORING A. Schmitt, T. Leichtle, M. Huber, A. Roth
  • OBJECT-BASED CHANGE DETECTION USING HIGH-RESOLUTION REMOTELY SENSED DATA AND GIS N. Sofina, M. Ehlers
  • EVALUATION OF TERRESTRIAL LASER SCANNING FOR RICE GROWTH MONITORING N. Tilly, D. Hoffmeister, H. Liang, Q. Cao, Y. Liu, V. Lenz-Wiedemann, Y. Miao, G. Bareth
  • ACCURACY IMPROVEMENT OF CHANGE DETECTION BASED ON COLOR ANALYSIS J. Wang, H. Koizumi, T. Kamiya
  • QUANTITATIVE ANALYSIS OF URBAN EXPANSION IN CENTRAL CHINA Y. Zeng, Y. Xu, S. Li, L. He, F. Yu, Z. Zhen, C. Cai
  • EVALUATING THE CONSISTENCY OF REMOTE SENSING BASED SNOW DEPTH PRODUCTS IN ARID ZONE OF WESTERN CHINA Qiming Zhou & Bo Sun
  • UPDATING BUILDING MAPS BASED ON OBJECT EXTRACTION AND BUILDING HEIGHT ESTIMATION L. Zhu, H. Shimamura, K. Tachibana
  • [VII/6: REMOTE SENSING DATA FUSION]
  • [VII/7: THEORY AND EXPERIMENTS IN RADAR AND LIDAR]
  • [VII/3, VII/6, III/2, V/3: INTEGRATION OF HYPERSPECTRAL AND LIDAR DATA]
  • [VII/7, III/2, V/1, V/3, ICWG V/I: LOW-COST UAVS (UVSS) AND MOBILE MAPPING SYSTEMS]
  • [VII/7, III/2, V/3: WAVEFORM LIDAR FOR REMOTE SENSING]
  • [ADDITIONAL PAPERS]
  • AUTHOR INDEX
  • Cover

Full text

    
O of 
king 
    
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
A SEMIAUTOMATIC ANOMALOUS CHANGE DETECTION METHOD FOR 
MONITORING AIMS 
G.Artese*, V. Achilli?, M. Fabris", M.Perrelli* 
* Land Planning Dept. - University of Calabria - Ponte Bucci cubo 45B - 87036 - Rende - Italy 
(g.artese, marcello.perrelli)@unical.it 
5 s9** Dept. - University of Padua - Via Marzolo ** 
Commission VII, WG VII/5 
KEY WORDS: Change Detection, Image Processing, Registration, Cultural Heritage, Camera Phone. 
ABSTRACT: 
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. 
1. INTRODUCTION 
In the framework of the development of a web site devoted to 
the documentation and monitoring of the cultural heritage 
(above all monumental buildings), with particular regard to 
emergency management, anomaly detection and early warning 
(Artese,G., Gencarelli,M., 2008), a semiautomatic method for 
anomalous change detection has been set up. The system uses 
images captured and sent by camera phones; these images are 
compared with archived ones to detect anomalous changes and, 
consequently, to activate an early warning procedure. 
The availability of high resolution digital cameras combined 
with the possibilities offered by today's computers, both for 
camera calibration and image processing, allows the execution 
of controls and monitoring by using change detection 
techniques, based on the comparison of frames acquired at 
different times. 
The use of these techniques is widespread in various sectors, 
ranging from security to traffic monitoring, to the processing of 
radiographic images, etc.. . 
The issues involved range from the calibration of the cameras 
used, to the feature extraction, registration, and actual change 
detection. 
Some authors have proposed techniques that do not require 
prior calibration and optimal resampling (registration) and make 
use of the classification process of pixels (Theiler, J., Perkins, S., 
2006). 
1.1 Calibration 
Many algorithms have been proposed for automatic calibration 
of the images. For example, 
Cronk et al. (Cronk, S., 2006) have proposed an effective 
method in the case of many converging acquisitions. Another 
possibility is to consider non-rigid geometric deformations, due 
to lens distortion; for such a case Arsigny et al. (Arsigny, V., 
2006) have proposed a general methodology to parameterize the 
deformation of the image with a finite number of rigid or affine 
components, while maintaining the reversibility of the global 
deformation. 
Considering the presence of flat surfaces and straight lines, 
different strategies can be followed. Habib et al. (Habib, AS, 
2002, Habib, AS, 2004, Habib, AS, 2005) have proposed a 
method for both calibration and registration, based on the use of 
straight lines. 
In the case of monitoring, internal and external orientation 
parameters are known, at least for a base image. 
In our work, straight lines were used during calibration of the 
camera lens to eliminate distortion, after having obtained the 
outlines with classical technique (Canny, J., 1986). 
1.2 Identification of interest points 
To obtain a good image registration, you must choose a set of 
interest points, which must be visible, and whose image 
coordinates must be known or measurable. For monitoring 
aims, one has in general the availability of one or more images 
in which interest points are detected through automatic or 
manual techniques. The classical operators Forstner (Forstner, 
W., 1987) Harris (Harris, CG, 1988) and Moravec (Moravec, 
HP, 1979) can be used effectively. In our work we used a 
semiautomatic technique, along with the operators of Harris and 
Moravec. 
1.3 Cross-correlation 
To perform registration, of fundamental importance for change 
detection, it is essential to find, in the images obtained at later 
dates, the interest points which were chosen in the base 
frames. For this purpose you can use the matching 
techniques. Among these, the cross-correlation is simple and 
effective (Jaehne, B., 1989). The cross-correlation allows to 
obtain the correspondence between two digital images, based on 
two assumptions: the images differ geometrically only due to a 
translation and radiometrically only for brightness and 
contrast. The accuracy of the cross-correlation decreases rapidly 
when the geometric assumptions are not met, especially when 
you have rotations greater than 20? or differences in scale 
greater than 30% (Forstner, W., 1984). 
The different perspectives of the images to compare cause both 
translations and rotations. For the buildings, it's in general
	        

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