Monitoring urban changes based on scale-space filtering and object-oriented classification

International Journal of Applied Earth Observation and Geoinformation

Volumn 15, Issue 1, 2012, Pages 38-48

  Doxani, G ^a   Karantzalos, K ^b   Tsakiri Strati, M ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Morphological scale space filtering; Multivariate alteration detection; Object based image analysis

Indexed keywords

ALGORITHM; DETECTION METHOD; ENVIRONMENTAL MONITORING; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE RESOLUTION; MULTIVARIATE ANALYSIS; SENSOR; URBAN AREA;

EID: 84864523414     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2011.07.002     Document Type: Article

References (40)

1. Alvarez, L., Lions, P.L., Morel, J.M., 1992. Image selective smoothing and edge detection by nonlinear diffusion. II. SIAM-JNA 29, 845-866.
2. Aplin, P., Smith, G., 2008. Advances in object-based image classification. International archives of the photogrammetry. Remote Sensing and Spatial Information Sciences 37 (Part B7), 725-728.
3. Baatz, M., Schape, A., 2000. Multiresolution segmentation an optimization approach for high quality multi-scale image segmentation. In: Strobl, J., et al. (Eds.), Angewandte Geographische Informationsverarbeitung XII. Wichmann, Heidelberg, pp. 12-23.
4. Baltsavias, E.O., 2004. Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems. ISPRS, Journal of Photogrammetry & Remote Sensing 58, 129-151.
5. Benz, U., Hofmann, P., Willhauck, G., Lingenfelder, I., Heynen, M., 2004. Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS ready information. ISPRS Journal of Photogrammetry & Remote Sensing 58 (3-4), 239-258.
6. Bergen, K.M., Brown, D.G., Rutherford, J.F., Gustafson, E.J., 2005. Change detection with heterogeneous data using ecoregional stratification, statistical summaries and a land allocation algorithm. Remote Sensing of Environment 97, 434-446.
7. Blaschke, T., 2004. Towards a framework for change detection based on image objects. In: Erasmi, S., Cyffka, B., Kappas, M. (Eds.), Göttinger Geographische Abhandlungen, vol. 113, pp. 1-9.
8. Blaschke, T., 2010. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing 65 (1), 2-16.
9. Bouziani, M., Goita, K., He, D.C., 2010. Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge. ISPRS, Journal of Photogrammetry and Remote Sensing 65 (1), 143-153.
10. Canty, M.J., 2007. Image Analysis, Classification and Change Detection in Remote Sensing (With Algorithms for ENVI/IDL). Taylor & Francis, Boca Raton (USA), pp. 249-253.
11. Champion, N., Rottensteiner, F., Matikainen, L., Liang, X., Hyyppä, J., Olsen, B.P., 2009.A test of automatic building change detection approaches. In: Stilla, U., Rottensteiner, F., Paparoditis, N. (Eds.), CMRT09, vol. XXXVIII, part 3/W4. IAPRS, Paris.
12. Champion, N., Boldo, D., Pierrot-Deseilligny, M., Stamon, G., 2010. 2D building change detection from high resolution satellite imagery: a two-step hierarchical method based on 3D invariant primitives. Pattern Recognition Letters 31 (9), 1138-1147.
13. Donnay, J.P., Barnsley, M., Longley, P., 2001. Remote Sensing and Urban Analysis. Taylor & Francis, London, pp. 3-18.
14. Hall, O., Hay, G., 2003. A multi-scale object-specific approach to digital change detection. International Journal of Applied Earth Observation and Geoinformation 4 (4), 311-327.
15. Hay, G., Castilla, G., 2006. Object-based image analysis: strengths, weaknesses, opportunities and threats. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 36 (Part 4/C42) (on CD-ROM).
16. Holland, D.A., Sanchez-Hernandez, C., Gladstone, C., 2008. Detecting changes to topographic features using high resolution imagery. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China XXXVII (Part B4), 1153-1158.
17. Im, J., Jensen, J.R., 2005. A change detection model based on neighborhood correlation image analysis and decision tree classification. Remote Sensing of Environment 99, 326-340.
18. Jensen, R.J., 2005. Introductory Digital Image Processing: A Remote Sensing Perspective, 3rd ed. Pearson Education, USA, pp. 470, 478-480.
19. Jin, X., Davis, C.H., 2005. Automated building extraction from high-resolution satellite imagery in urban areas using structural, contextual, and spectral information. EURASIP, Journal on Applied Signal Processing 14, 2196-2206.
20. Karantzalos, K., Argialas, D., Paragios, N., 2007. Comparing Morphological Levelings constrained by different markers. In: Banon, G., et al. (Eds.), Proc. 8th Int. Symp. Mathematical Morphology, Mathematical Morphology and its Applications to Signal and Image Processing. , pp. 113-124.
21. Karantzalos, K., Paragios, N., 2009. Recognition-driven 2D competing priors towards automatic and accurate building detection. IEEE Transactions on Geoscience and Remote Sensing 47 (1), 133-144.
22. Lang, S., 2008. Object-based image analysis for remote sensing applications: modeling reality - dealing with complexity. In: Blaschke, T., et al. (Eds.), Object-Based Image Analysis - Spatial concepts for knowledge-Driven Remote Sensing Applications. Springer, New York, pp. 3-28.
23. Li, D., Haigang, S., Ping, X., 2003. Automatic change detection of geo-spatial data from imagery. Geo-Spatial Information Science 6 (3), 1-7.
24. Lizarazo, I., Barros, J., 2010. Fuzzy image segmentation for urban land cover classification. Photogrammetric Engineering & Remote Sensing 76 (2), 151-162.
25. Lu, D., Mausel, P., Brondizio, E., Moran, E., 2004. Change detection techniques. International Journal of Remote Sensing 25 (12), 2365-2407.
26. Matikainen, L., Hyyppä, J., Ahokas, E., Markelin, L., Kaartinen, H., 2010. Automatic detection of buildings and changes in buildings for updating of maps. Remote Sensing 2, 1217-1248.
27. Meyer, F., Maragos, P., 2000. Nonlinear scale-space representation with morphological levelings. Journal of Visual Communication and Image Representation 11 (2), 245-265.
28. Meyer, F., 2004. Image simplification filters for segmentation. International Journal of Mathematical Imaging and Vision 20 (1-2), 59-72.
29. Nielsen, A.A., 1994. Analysis of regularly and irregularly sampled spatial, multivariate and multi-temporal data, Ph.D. dissertation, IMM, Technical University of Denmark, Lyngby, pp. 75-99.
30. Nielsen, A.A., Conradsen, K., 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 64, 1-19.
31. Niemeyer, I., Marpu, P.R., Nussbaum, S., 2007. Change detection using the object features. In: Proc. of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS'07, Barcelona.
32. Nussbaum, S., Menz, G., 2008. Object-Based Image Analysis and Treaty Verification: New Approaches in Remote Sensing - Applied to Nuclear Facilities in Iran. Springer-Verlag, Berlin, pp. 85-139.
33. Ouma, Y., Josaphat, S., Tateishi, R., 2008. Multiscale remote sensing data segmentation and post-segmentation change detection based on logical modeling: theoretical exposition and experimental results for forestland cover change analysis. Computers & Geosciences 34 (7), 715-737.
34. Ozdemir, B., Aksoy, S., Eckert, S., Pesaresi, M., Ehrlich, D., 2010. Performance measures for object detection evaluation. Pattern Recognition Letters 31 (10), 1128-1137.
35. Radke, R.J., Andra, S., Al-Kofahi, O., Roysam, B., 2005. Image change detection algorithms: a systematic survey. IEEE Transactions on Image Processing 14 (3), 294-307.
36. Smith, G.M., Morton, R.D., 2010. Real world objects in GEOBIA through the exploitation of existing digital cartography and image segmentation. Photogrammetric Engineering & Remote Sensing 76 (2), 163-171.
37. Steinnocher, K., Kressler, F., 2006. Change Detection, Final Report, EuroSDR Project
38. Sui, H., Zhou, Q., Gong, J., Ma, G., 2008. Processing of multi-temporal data and change detection. In: Li, Z.L, Chen, J., Baltsavias, E. (Eds.), Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book. Taylor & Francis, Nottingham, pp. 227-247.
39. Tzotsos, A., Karantzalos, K., Argialas, D. Object based image Analysis through scale space filtering. ISPRS Journal of Photogrammetry and Remote Sensing, in press.
40. Zhou, W., Huang, G., Troy, A., Cadenasso, M., 2009. Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: a comparison study. Remote Sensing of Environment 113 (8), 1769-1777.