Automatic detection of geospatial objects using taxonomic semantics

IEEE Geoscience and Remote Sensing Letters

Volumn 7, Issue 1, 2010, Pages 23-27

  Sun, Xian ^a   Wang, Hongqi ^a   Fu, Kun ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Image analysis; Image segmentation; Object detection; Unsupervised learning

Indexed keywords

AUTOMATIC DETECTION; GEO-SPATIAL OBJECTS; HIGH RESOLUTION REMOTE SENSING; MULTISCALE SEGMENTATION; NOVEL METHODS; OBJECT DETECTION; SPATIAL CONFIGURATION; SUBTREES; TREE NODES;

DIGITAL IMAGE STORAGE; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; REMOTE SENSING; SEMANTICS; UNSUPERVISED LEARNING;

IMAGE SEGMENTATION;

EID: 75449108189     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2027139     Document Type: Article

References (14)

1. S. Agarwal and D. Roth, "Learning a sparse representation for object detection," in Proc. ECCV, 2002, vol.4, pp. 113-130.
2. R. Fergus, P. Perona, and A. Zisserman, "A visual category filter for Google images," in Proc. ECCV, 2004, vol.3021, pp. 242-256.
3. B. Leibe, A. Leonardis, and B. Schiele, "Combined object categorization and segmentation with an implicit shape model," in Proc. ECCV, 2004, pp. 17-32.
4. S. Bhagavathy and B. S. Manjunath, "Modeling and detection of geospatial objects using texture motifs," IEEE Trans. Geosci. Remote Sens., vol.44, no.12, pp. 3706-3715, Dec. 2006.
5. M. Tello, C. L. Martínez, and J. J. Mallorqui, "A novel algorithm for ship detection in SAR imagery based on the wavelet transform," IEEE Geosci. Remote Sens. Lett., vol.2, no.2, pp. 201-205, Apr. 2005.
6. G. Poggi, G. Scarpa, and J. B. Zerubia, "Supervised segmentation of remote sensing images based on a tree-structured MRF model," IEEE Trans. Geosci. Remote Sens., vol.43, no.8, pp. 1901-1911, Aug. 2005.
7. L. Fei-Fei, R. Fergus, and P. Perona, "One-shot learning of object categories," IEEE Trans. Pattern Anal. Mach. Intell., vol.28, no.4, pp. 594-611, Apr. 2006.
8. L. Cao and L. Fei-Fei, "Spatially coherent latent topic model for concurrent segmentation and classification of objects and scenes," in Proc. IEEE ICCV, 2007, pp. 1-8.
9. J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol.22, no.8, pp. 888-905, Aug. 2000.
10. D. Blei, A. Ng, and M. Jordan, "Latent Dirichlet allocation," J. Mach. Learn. Res., vol.3, pp. 993-1022, 2003.
11. J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman, and W. T. Freeman, "Discovering objects and their location in images," in Proc. ICCV, 2005, pp. 370-377.
12. D. Lowe, "Object recognition from local scale-invariant features," in Proc. ICCV, Sep. 1999, pp. 1150-1157.
13. T. Griffiths and M. Steyvers, "Finding scientific topics," Proc. Nat. Acad. Sci. U.S.A., vol.101, pp. 5228-5235, 2004.
14. A. Torsello and E. R. Hancock, "Graph embedding using tree edit-union," Pattern Recognit., vol.40, no.5, pp. 1393-1405, May 2007.