A model-based approach for automatic building database updating from high-resolution space imagery

International Journal of Remote Sensing

Volumn 33, Issue 13, 2012, Pages 4193-4218

  Koc San, Dilek ^a   Turker, Mustafa ^b  

^a AKDENIZ UNIVERSITY   (Turkey)

^b HACETTEPE UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; SUPPORT VECTOR MACHINES; VECTOR SPACES;

AUTOMATIC BUILDINGS; BUILDING EXTRACTION; BUILDING MODEL; DIGITAL SURFACE MODELS; HIGH RESOLUTION; MODEL BASED APPROACH; NORMALIZED DIFFERENCE VEGETATION INDEX; SPACE IMAGERY;

BUILDINGS;

CLASSIFICATION; DATABASE; IKONOS; IMAGE RESOLUTION; NDVI; NUMERICAL MODEL; SATELLITE IMAGERY; VECTOR;

EID: 84855461433     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2011.640963     Document Type: Article

References (54)

1. Baltsavias, E.P. 2004. Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems. ISPRS Journal of Photogrammetry and Remote Sensing, 58: 129-151.
2. Baltsavias, E., Gruen, A. and Van Gool, L. 2001. Automated Extraction of Man-Made Objects From Aerial and Space Images (III), Lisse: A.A. Balkema Publishers.
3. Benediktsson, J.A., Pesaresi, M. and Arnason, K. 2003. Classification and feature extraction for remote sensing images from urban areas based on morphological transformations. IEEE Transactions on Geoscience and Remote Sensing, 41: 1940-1949.
4. Bouzani, M., Goita, K. and 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: 143-153.
5. Boyd, D.S., Sanchez-Hernandez, C. and Foody, G.M. 2006. Mapping a specific class for priority habitats monitoring from satellite sensor data. International Journal of Remote Sensing, 27: 2631-2644.
6. Brenner, C. 2005. Building reconstruction from images and laser scanning. International Journal of Applied Earth Observation and Geoinformation, 6: 187-198.
7. Croitoru, A. and Doytsher, Y. 2003. Monocular right-angle building hypothesis generation in regularized urban areas by pose clustering. Photogrammetric Engineering and Remote Sensing, 69: 151-169.
8. Croitoru, A. and Doytsher, Y. 2004. Right-angle rooftop polygon extraction in regularised urban areas: cutting the corners. The Photogrammetric Record, 19: 311-341.
9. Foody, G.M. and Mathur, A. 2004. A relative evaluation of multiclass image classification by support vector machines. IEEE Transactions on Geoscience and Remote Sensing, 42: 1335-1343.
10. Foody, G.M., Mathur, A., Sanchez-Hernandez, C. and Boyd, D.S. 2006. Training set size requirements for the classification of a specific class. Remote Sensing of Environment, 104: 1-14.
11. Fujii, K. and Arikawa, T. 2002. Urban object reconstruction using airborne laser elevation image and aerial image. IEEE Transactions on Geoscience and Remote Sensing, 40: 2234-2240.
12. Gamba, P. and Houshmand, B. 2002. Joint analysis of SAR, Lidar and aerial imagery for simultaneous extraction of land cover, DTM and 3D shape of buildings. International Journal of Remote Sensing, 23: 4439-4450.
13. Gruen, A. Semi-automated approaches to site recording and modeling. International Archieves of Photogrammetry and Remote Sensing (IAPRS). July16-232000, Amsterdam, The Netherlands. Vol. XXXIII, pp.309-318. Lemmer: GITC.
14. Gruen, A., Baltsavias, E. and Henricsson, O. 1997. Automatic Extraction of Man-Made Objects from Aerial and Space Images (II), Berlin: Birkhaeuser Verlag.
15. Gruen, A., Kuebler, O. and Agouris, P. 1995. Automatic Extraction of Man-Made Objects from Aerial and Space Images, Berlin: Birkhaeuser Verlag.
16. Haala, N. and Brenner, C. 1999. Extraction of buildings and trees in urban environments. ISPRS Journal of Photogrammetry & Remote Sensing, 54: 130-137.
17. Holland, D.A., Boyd, D.S. and Marshall, P. 2006. Updating topographic mapping in Great Britain using imagery from high resolution satellite sensors. ISPRS Journal of Photogrammetry and Remote Sensing, 60: 212-223.
18. Hongjian, Y. and Shiqiang, Z. 2006. 3D building reconstruction from aerial CCD image and sparse laser sample data. Optics and Lasers in Engineering, 44: 555-566.
19. Huang, C., Davis, L.S. and Townshend, J.R.G. 2002. An assessment of support vector machines for land cover classification. International Journal of Remote Sensing, 23: 725-749.
20. Huertas, A. and Nevatia, R. 2000. Detecting changes in aerial views of man-made structures. Image and Vision Computing, 18: 583-596.
21. Jin, X. and 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.
22. Jung, F. 2004. Detecting building changes from multitemporal aerial stereopairs. ISPRS Journal of Photogrammetry and Remote Sensing, 58: 187-201.
23. Keles, R. 1967. Kooperatifçilik Ilkeleri Ve Sosyal Konut Politikasi{dotless} Açi{dotless}si{dotless}ndan Türkiye'de Konut Kooperatifleri, Ankara: Gürsoy Basi{dotless}mevi.
24. Khoshelham, K. and Li, Z. 2004. A model-based approach to semi-automated reconstruction of buildings from aerial images. The Photogrammetric Record, 19: 342-359.
25. Khoshelham, K., Li, Z. and King, B. 2005. A split and merge technique for automated reconstruction of roof planes. Photogrammetric Engineering and Remote Sensing, 71: 855-862.
26. Khoshelham, K., Nardinocchi, C., Frontoni, E., Mancini, A. and Zingaretti, P. 2010. Performance evaluation of automated approaches to building detection in multi-source aerial data. ISPRS Journal of Photogrammetry and Remote Sensing, 65: 123-133.
27. Knudsen, T. and Olsen, B.P. 2003. Automated change detection for updates of digital map databases. Photogrammetric Engineering and Remote Sensing, 69: 1289-1296.
28. Lee, D.H., Lee, K.M. and Lee, S.U. 2008. Fusion of Lidar and imagery for reliable building extraction. Photogrammetric Engineering and Remote Sensing, 74: 215-225.
29. Lee, D.S., Shan, J. and Bethel, J.S. 2003. Class-guided building extraction from IKONOS imagery. Photogrammetric Engineering and Remote Sensing, 69: 143-150.
30. Mayer, H. 1999. Automatic object extraction from aerial imagery - a survey focusing on buildings. Computer Vision and Image Understanding, 74: 138-149.
31. Murakami, H., Nakagawa, K., Hasegawa, H., Shibata, T. and Iwanami, E. 1999. Change detection of buildings using an airborne laser scanner. ISPRS Journal of Photogrammetry and Remote Sensing, 54: 148-152.
32. Niederost, M. 2002. Detection and reconstruction of buildings for automated map updating, PhD thesis, Institute of Geodesy and Photogrammetry, ETH Zurich.
33. Pal, M. and Mather, P.M. 2005. Support vector machines for classification in remote sensing. International Journal of Remote Sensing, 26: 1007-1011.
34. Peng, J. and Liu, Y.C. 2005. Model and context-driven building extraction in dense urban aerial images. International Journal of Remote Sensing, 26: 1289-1307.
35. Rau, J.Y. and Chen, L.C. 2003. Robust reconstruction of building models from three-dimensional line segments. Photogrammetric Engineering and Remote Sensing, 69: 181-188.
36. Richards, J.A. 1999. Remote Sensing Digital Image Analysis, Berlin: Springer-Verlag.
37. Rottensteiner, F., Trinder, J., Clode, S. and Kubik, K. 2007. Building detection by fusion of airborne laser scanner data and multi-spectral images: performance evaluation and sensitivity analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 62: 135-149.
38. Sanchez-Hernandez, C., Boyd, D.S. and Foody, G.M. 2007. One-class classification for a specific land-cover class: SVDD classification of fenland. IEEE Transactions on Geoscience and Remote Sensing, 45: 1061-1073.
39. Shackelford, A.K. and Davis, C.H. 2003. A combined fuzzy pixel-based and object-based approach for classification of high resolution multispectral data over urban areas. IEEE Transactions on Geoscience and Remote Sensing, 41: 2354-2363.
40. Shufelt, J. 1999. Geometric Constraints for Object Detection and Delineation, Massachusetts: Kluwer Academic Publishers.
41. Shufelt, J.A. and McKeown, D.M. 1993. Fusion of monocular cues to detect man-made structures in aerial imagery. CVGIP: Image Understanding, 57: 307-330.
42. Si{dotless}rmaçek, B. and Ünsalan, C. 2009. Urban-area and building detection using SIFT keypoints and graph theory. IEEE Transactions on Geoscience and Remote Sensing, 47: 1156-1167.
43. Sohn, G. and Dowman, I. 2007. Data fusion of high-resolution satellite imagery and Lidar data for automatic building extraction. ISPRS Journal of Photogrammetry and Remote Sensing, 62: 43-63.
44. Sonka, M., Hlavac, V. and Boyle, R. 1998. Image Processing, Analysis, and Machine Vision, New York: PWS Publishing.
45. Sowmya, A. and Trinder, J. 2000. Modelling and representation issues in automated feature extraction from aerial and satellite images. ISPRS Journal of Photogrammetry and Remote Sensing, 55: 34-47.
46. Suveg, I. and Vosselman, G. 2004. Reconstruction of 3D building models from aerial images and maps. ISPRS Journal of Photogrammetry and Remote Sensing, 58: 202-224.
47. Teng, C.H. and Fairbairn, D. 2002. Comparing expert systems and neural fuzzy systems for object recognition in map dataset revision. International Journal of Remote Sensing, 23: 555-567.
48. Tobler, W.R. 1970. A computer movie simulating urban growth in the Detroit region. Economic Geography, 46: 234-240.
49. Tseng, Y.H. and Wang, S. 2003. Semiautomated building extraction based on CSG model-image fitting. Photogrammetric Engineering and Remote Sensing, 69: 171-180.
50. Ünsalan, C. and Boyer, K.L. 2005. A system to detect houses and residential street networks in multispectral satellite images. Computer Vision and Image Understanding, 98: 423-461.
51. Vapnik, V.N. 1995. The Nature of Statistical Learning Theory, New York: Springer-Verlag.
52. Watanachaturaporn, P., Arora, M.K. and Varshney, P.K. 2008. Multisource classification using support vector machines: an empirical comparison with decision tree and neural network classifiers. Photogrammetric Engineering and Remote Sensing, 74: 239-246.
53. Zhou, G., Song, C., Simmers, J. and Cheng, P. 2004. Urban 3D GIS from Lidar and digital aerial images. Computers and Geosciences, 30: 345-353.
54. Zhu, G. and Blumberg, D.G. 2002. Classification using ASTER data and SVM algorithms: the case study of Beer Sheva, Israel. Remote Sensing of Environment, 80: 233-240.