Change detection tools

Remote Sensing from Space: Supporting International Peace and Security

Volumn , Issue , 2009, Pages 119-140

  Dekker, Rob ^a   Kuenzer, Claudia ^b   Lehner, Manfred ^b   Reinartz, Peter ^b   Niemeyer, Irmgard ^c   Nussbaum, Sven ^d   Lacroix, Viciane ^e   Sequeira, Vito ^f   Stringa, Elena ^f   Schöpfer, Elisabeth ^b  

^a TNO   (Netherlands)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

^c TU BERGAKADEMIE FREIBERG   (Germany)

^d FORSCHUNGSZENTRUM JÜLICH   (Germany)

^e ROYAL MILITARY ACADEMY   (Belgium)

^f JOINT RESEARCH CENTRE   (Italy)

Author keywords

3D analysis; Change detection; earth observation; multispectral imagery; synthetic aperture radar

Indexed keywords

EID: 84870686832     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4020-8484-3_9     Document Type: Chapter

References (32)

1. Baltsavias, E., 2002. Object extraction and revision by image analysis using existing geospatial data and knowledge: State-of-the-art and steps towards operational systems. International Archives of Photogrammetry and Remote Sensing, Vol. 35, Part 2, pp. 13-22.
2. Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I., and Heynen, M., 2004. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry & Remote Sensing, Vol. 58, pp. 239-258. (Pubitemid 38106043)
3. Blaschke, T., 2005. A framework for change detection based on image objects. In: Erasmi, S. et al. (eds.), Göttinger Geographische Abhandlungen, 113, Göttingen, pp. 1-9.
4. Bruzzone, L. and Prieto, D.F., 2002. An Adaptive Semi-Parametric and Context-Based Approach to Unsupervised Change Detection in Multitemporal Remote Sensing Images. Technical Report No. DIT-020030, Department of Information and Communication Technology, University of Trento, Italy.
5. Busch, A., 1998. Revision of built-up areas in a GIS using satellite imagery and GIS data. International Archives of Photogrammetry and Remote Sensing, Vol. 32.
6. Caves, R.G. and Quegan, S., 1995. Multi-channel SAR segmentation: Algorithm and applications. Proceedings of the European Symposium on Satellite Remote Sensing II, Paris, pp. 241-251.
7. Dekker, R.J., 1998. Speckle filtering in satellite SAR change detection imagery. International Journal of Remote Sensing, Vol. 19, No. 6, pp. 1133-1146.
8. Dekker, R.J., 2005. SAR change detection techniques and applications. 25th EARSeL Symposium on Global Developments in Environmental Earth Observation from Space, 6-11 June 2005, Porto, Portugal.
9. Dekker, R.J., 2006. Monitoring Urban Development Using Envisat ASAR. First EARSeL Workshop on Urban Remote Sensing, 2-3 March 2006, Berlin, Germany.
10. Dekker, R.J., Lingenfelder, I., Brozek, B., Benz, U., and van den Broek, A.C., 2004. Object-based detection of hazards to the European gas pipeline network using SAR images. 5th European Conference on Synthetic Aperture Radar (EUSAR), 25-27 May 2004, Ulm, Germany, pp. 1035-1038.
11. Hornsby, K. and Egenhofer, M.J., 2000. Identity-based change: A foundation for spatio-temporal knowledge representation. International Journal of Geographical Information Science, Vol. 14, No. 3, pp. 207-224. (Pubitemid 30208835)
12. Klang, D., 1998. Automatic detection of changes in road data bases using satellite imagery. International Archives of Photogrammetry and Remote Sensing, Vol. 32, pp. 293-298.
13. Kuenzer, C., 2005. Demarcating Coal Fire Risk Areas Based on Spectral Test Sequences and Partial Unmixing Using Multi Sensor Remote Sensing Data. Ph.D. thesis, Technical University Vienna, Austria.
14. Lacroix, V., Idrissa, M., Hincq, A., Bruynseels, H., and Swartenbroekx, O., 2006. Detecting urbanization changes using SPOT5. Pattern Recognition Letters, Vol. 27, pp. 226-233. (Pubitemid 43063104)
15. Lang, S., Schöpfer, E., and Langanke, T., 2008. Combined object-based classification and manual interpretation-Synergies for a quantitative assessment of parcels and biotopes. Geocarto International (first published on 20 May 2008).
16. Mark, D.M., 1999. Spatial representation: A cognitive view. In: Maguire, D. J. et al. (eds.), Geographical Information Systems: Principles and Applications, Wiley, New York, pp. 81-89.
17. Nielsen, A.A., Conradsen, K., and Simpson, J.J., 1998. Multivariate Alteration Detection (MAD) and MAF postprocessing in multispectral, bitemporal image data: New approaches to change detection studies. Remote Sensing of Environment, Vol. 64, pp. 1-19.
18. Niemeyer, I. and Nussbaum, S., 2006. Change detection-the potential for nuclear safeguards. In: Avenhaus, R., Kyriakopoulos, N., Richard, M. and Stein, G. (eds.), 2006. Verifying Treaty Compliance. Limiting Weapons of Mass Destruction and Monitoring Kyoto Protocol Provisions. Springer, Berlin, pp. 335-348.
19. Niemeyer, I., Nussbaum, S., and Canty, M.J., 2005. Automation of change detection procedures for nuclear safeguards-related monitoring purposes. Proceedings of the 25th IEEE International Geoscience and Remote Sensing Symposium, IGARSS'05, Seoul, 25-29 July 2005.
20. Novak L.M. and Hesse, S.R., 1991. On the performance of order-statistics CFAR detectors. IEEE Conference Record of the 25th Asilomar Conference on Signals, Systems and Computers, Vol. 2, pp. 835-840.
21. Raza, A. and Kainz, W., 2001. An object-oriented approach for modeling urban land-use changes. URISA Journal, Vol. 14, No. 1, pp. 37-55.
22. Reinartz, P., Müller, R., Lehner, M., and Schroeder, M., 2006. Accuracy analysis for DSM and orthoimages derived from SPOT HRS stereo data using direct georeferencing. ISPRS Journal of Photogrammetry and Remote Sensing Vol. 60, No. 3, pp. 160-169.
23. Rignot, E.J.M., and van Zyl, J.J., 1993. Change Detection techniques for ERS-1 SAR data. IEEE Transactions on Geoscience and Remote Sensing, Vol. 31, No. 4, 896-906.
24. Sakamoto, M., Takasago, Y., Uto, K., Doihara, T., Kakumoto, S., and Kosugi, Y., 2004. Automatic detection of damaged area of Iran earthquake by high-resolution imagery. Proceedings of IGARSS2004, Alaska.
25. Schöpfer, E., 2005. Change Detection in Multitemporal Images utilizing Object-Based Image Analysis. Ph.D. thesis, University of Salzburg, Austria.
26. Schöpfer, E. and Lang, S., 2006. Object fate analysis-a virtual overlay method for the categorisation of object transition and object-based accuracy assessment. In: S. Lang & T. Blaschke (eds.), Proceedings of the 1st International Conference on Object-Based Image Analysis (OBIA 2006), Bridging Remote Sensing and GIS, 4-5 July 2006, Salzburg, 6 pp.
27. Sequeira, V., Gonçalves, J.G.M., Boström, G., Fiocco, M., and Puig, D., 2004. Automatic scene change analysis of large areas. Proceedings of INMM 45th Annual Meeting, Orlando, Florida, 18-22 July 2004.
28. Sequeira, V., Boström, G., Fiocco, M., Puig, D., and Gonçalves, J.G.M., 2005. Outdoor Verification System. Proceedings of INMM 46th Annual Meeting, Phoenix, Arizona, 10-14 July 2005.
29. Vosselman, G. and de Gunst, M., 1997. Updating road maps by contextual reasoning. In: Proceedings of the 2nd Workshop on Automatic Extraction of Man-Made Objects from Aerial and Space Images, Ascona.
30. Werner, C.L., Hensley, S., Goldstein, R.M., Rosen, P.A., and Zebker, H.A., 1992. Techniques and applications of SAR interferometry for ERS-1: Topographic mapping, change detection, and slope measurement. Proceedings of 1st ERS-1 Symposium, Cannes, France, 4-6 November 1992, ESA SP-359 (March 1993), pp. 205-210.
31. Wouters, H.C., Groot, J.S., and Dekker, R.J., 1996. Radar image analysis package, Final Report. BCRS NRSP-2 Rapport 96-01, Beleidscommissie Remote Sensing, Delft, Nederland.
32. Zebker, H.A. and Villasenor, J., 1992. Decorrelation in interferometer radar echoes. IEEE Transactions on Geoscience and Remote Sensing, Vol. 30, No. 5, pp. 950-959.