A Self-Supervised Decision Fusion Framework for Building Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 5, 2016, Pages 1780-1791

  Senaras, Caglar ^a,b   Yarman Vural, Fatos¸ T ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

Building detection; decision fusion; ensemble learning; self supervision

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING ALGORITHMS;

AUTOMATICALLY GENERATED; ENSEMBLE LEARNING ALGORITHM; LEARNING ARCHITECTURES; STACKED GENERALIZATION; STATE-OF-THE-ART ALGORITHMS; SUPERVISED CLASSIFIERS; TRAINING SAMPLE SELECTION; UNSUPERVISED APPROACHES;

BUILDINGS;

ALGORITHM; BUILDING; DETECTION METHOD; ENSEMBLE FORECASTING; LEARNING; SATELLITE DATA; SATELLITE IMAGERY;

EID: 84939211533     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2463118     Document Type: Article

References (26)

1. C. Senaras, M. Ozay, and F. Yarman Vural, "Building detection with decision fusion," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 3, pp. 1295-1304, Jun. 2013.
2. A.-M. Cretu and P. Payeur, "Building detection in aerial images based on watershed and visual attention feature descriptors," in Proc. Int. Conf. Comput. Robot Vis. (CRV), 2013, pp. 265-272.
3. O. Karadag, C. Senaras, and F. Vural, "Segmentation fusion for building detection using domain-specific information," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., pp. 1-11, Mar. 2015, doi: 10.1109/JSTARS.2015.2403617.
4. L. Bruzzone and M. Marconcini, "Toward the automatic updating of land-cover maps by a domain-adaptation SVM classifier and a circular validation strategy," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 4, pp. 1108-1122, Apr. 2009.
5. S. Patra and L. Bruzzone, "A fast cluster-assumption based active-learning technique for classification of remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1617-1626, May 2011.
6. L. Bruzzone and M. Marconcini, "Domain adaptation problems: A DASVM classification technique and a circular validation strategy," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 5, pp. 770-787, May 2010.
7. C. Persello, "Interactive domain adaptation for the classification of remote sensing images using active learning," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 4, pp. 736-740, Jul. 2013.
8. M. Cote and P. Saeedi, "Automatic rooftop extraction in nadir aerial imagery of suburban regions using corners and variational level set evolution," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 313-328, Jan. 2013.
9. B. Sirmacek and C. Unsalan, "A probabilistic framework to detect buildings in aerial and satellite images," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 1, pp. 211-221, Jan. 2011.
10. A. O. Ok, C. Senaras, and B. Yuksel, "Automated detection of arbitrarily shaped buildings in complex environments from monocular VHR optical satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 3, pp. 1701-1717, Mar. 2013.
11. O. Aytekin, A. Erener, I. Ulusoy, and S. Duzgun, "Unsupervised building detection in complex urban environments from multispectral satellite imagery," Int. J. Remote Sens., vol. 33, no. 7, pp. 2152-2177, 2012.
12. O. Aytekin, I. Ulusoy, A. Erener, and H. Duzgun, "Automatic and unsupervised building extraction in complex urban environments from multi spectral satellite imagery," in Proc. 4th Int. Conf. Recent Adv. Space Technol. (RAST'09), Jun. 2009, pp. 287-291.
13. R. Katz, J. Nieto, E. Nebot, and B. Douillard, "Track-based self-supervised classification of dynamic obstacles," Auton. Robots, vol. 29, no. 2, pp. 219-233, 2010.
14. C. A. Brooks and K. D. Iagnemma, "Self-supervised classification for planetary rover terrain sensing," in Proc. IEEE Aerosp. Conf., 2007, pp. 1-9.
15. Y.-W. Seo, N. D. Ratliff, and C. Urmson, "Self-supervised aerial image analysis for extracting parking lot structure," in Proc. Int. Joint Conf. Artif. Intell. (IJCAI), 2009, pp. 1837-1842.
16. C. J. Tucker, "Red and photographic infrared linear combinations for monitoring vegetation," Remote Sens. Environ., vol. 8, no. 2, pp. 127-150, May 1979.
17. N. Otsu, "A threshold selection method from gray-level histograms," Automatica, vol. 11, no. 285-296, pp. 23-27, 1975.
18. M. Teke, E. Baseski, A. O. Ok, B. Yuksel, and C. Senaras, "Multi-spectral false color shadow detection," in Proc. ISPRS Conf. Photogramm. Image Anal. (PIA'11), 2011, pp. 109-119.
19. R. G. Von Gioi, J. Jakubowicz, J.-M. Morel, and G. Randall, "LSD: A fast line segment detector with a false detection control," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 4, pp. 722-732, Apr. 2010.
20. G. B. Thomas, R. L. Finney, and M. D. Weir, Calculus and Analytic Geometry. Reading, MA, USA: Addison-Wesley, 1988, vol. 7.
21. D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 5, pp. 603-619, May 2002.
22. N. Japkowicz and S. Stephen, "The class imbalance problem: A systematic study," Intell. Data Anal., vol. 6, no. 5, pp. 429-449, 2002.
23. J. M. Keller, M. R. Gray, and J. A. Givens, "A fuzzy k-nearest neighbor algorithm," IEEE Trans. Syst. Man Cybern., vol. 15, no. 4, pp. 580-585, Jul./Aug. 1985.
24. M. Ozay and F. Yarman Vural, "A new decision fusion technique for image classification," in Proc. IEEE Int. Conf. Image Process. (ICIP '09), Cairo, Egypt, Nov. 2009, pp. 2189-2192.
25. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification. Hoboken, NJ, USA: Wiley, 2012.
26. M. Pesaresi, A. Gerhardinger, and F. Kayitakire, "A robust built-up area presence index by anisotropic rotation-invariant textural measure," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 1, no. 3, pp. 180-192, Sep. 2008.