Classification of materials in natural scenes using multi-spectral images

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2012, Pages 1393-1398

  Namin, Sarah Taghavi ^a,b   Petersson, Lars ^a  

^a CSIRO   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Adaboost; Classification; Multi spectral; Support Vector Machine; Texture features

Indexed keywords

CLASSIFICATION ACCURACY; FOURIER SPECTRA; LIGHTING CONDITIONS; LOCAL FEATURE; MULTI-SPECTRAL; MULTI-SPECTRAL CAMERAS; MULTISPECTRAL IMAGES; NATURAL SCENES; NEAR INFRARED; RGB CAMERAS; TEXTURE FEATURES; VISIBLE RANGE;

CAMERAS; CLASSIFICATION (OF INFORMATION); INFRARED DEVICES; INTELLIGENT SYSTEMS; PIXELS; ROBOT APPLICATIONS; SPECTROSCOPY; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES; TEXTURES;

ADAPTIVE BOOSTING;

EID: 84872354067     PISSN: 21530858     EISSN: 21530866     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2012.6386074     Document Type: Conference Paper

References (20)

1. N. Salamati and S. Susstrunk, "Material-Based Object Segmentation Using Near-Infrared Information," in IS&T/SID 18th Color Imaging Conference (CIC), 2010, pp. 196-201, received the Cactus Award (Best Interactive Paper Award) at the conference.
2. J. Chetan, M. Krishna, and C. Jawahar, "Fast and spatially-smooth terrain classification using monocular camera," in Pattern Recognition (ICPR), 2010 20th International Conference on, aug. 2010, pp. 4060 - 4063.
3. T. Kim, G. Sung, and J. Lyou, "Robust terrain classification by introducing environmental sensors," in Safety Security and Rescue Robotics (SSRR), 2010 IEEE International Workshop on, july 2010, pp. 1-6.
4. C. Pantofaru, R. Unnikrishnan, and M. Hebert, "Toward generating labeled maps from color and range data for robot navigation," in Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on, vol. 2, oct. 2003, pp. 1314 - 1321 vol.2.
5. B. Douillard, D. Fox, F. Ramos, and H. Durrant-Whyte, "Classification and semantic mapping of urban environments," Int. J. Rob. Res., vol. 30, pp. 5-32, January 2011.
6. N. Salamati, C. Fredembach, and S. Ssstrunk, "Material Classification Using Color and NIR Images," in Proc. IS&T/SID 17th Color Imaging Conference (CIC), 2009.
7. M. Brown and S. Susstrunk, "Multi-spectral sift for scene category recognition," Image Rochester NY, vol. 2, pp. 177-184, 2011.
8. N. Salamati, D. Larlus, and G. Csurka, "Combining Visible and Near-Infrared Cues for Image Categorisation," in Proceedings of the 22nd British Machine Vision Conference, 2011.
9. C. P. Huynh and A. Robles-Kelly, "A solution of the dichromatic model for multispectral photometric invariance," International Journal of Computer Vision, vol. 90, no. 1, pp. 1-27, 2010.
10. I. Lizarazo and J. Barros, "Fuzzy image segmentation for urban land-cover classification," Photogrammetric Engineering and Remote Sensing, vol. 76, no. 2, pp. 151-162, 2010.
11. M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using svms and morphological profiles," IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 11, pp. 3804-3814, 2008.
12. S. Tarrant, G. Piercey, D. Hart, and P. McGuire, "Automatic road extraction from multispectral high resolution satellite images," Defence R&D Canada, Suffield, Ralston ALTA (CAN), C-Core, 2009.
13. D. Bradley, R. Unnikrishnan, and J. Bagnell, "Vegetation detection for driving in complex environments," in Robotics and Automation, 2007 IEEE International Conference on, april 2007, pp. 503-508.
14. R. N. Clark, G. A. Swayze, K. E. Livo, R. F. Kokaly, S. J. Sutley, J. B. Dalton, R. R. Mcdougal, and C. A. Gent, "Imaging spectroscopy: Earth and planetary remote sensing with the usgs tetracorder and expert systems," Journal of Geophysical Research, vol. 80225, no. 303, pp. 1-79, 2002.
15. C. nsalan and K. L. Boyer, "Linearized vegetation indices based on a formal statistical framework," IEEE Trans. GeoRS, vol. 42, pp. 1575-1585, 2004.
16. R. Haralick, "Statistical and structural approaches to texture," Proceedings of the IEEE, vol. 67, no. 5, pp. 786 - 804, may 1979.
17. K.-L. Lee and L.-H. Chen, "An efficient computation method for the texture browsing descriptor of mpeg-7," Image Vision Comput., vol. 23, pp. 479-489, May 2005.
18. C.-C. Chang and C.-J. Lin, "LIBSVM: A library for support vector machines," ACM Transactions on Intelligent Systems and Technology, vol. 2, pp. 27:1-27:27, 2011, software available at http://www.csie.ntu.edu.tw/-cjlin/ libsvm.
19. Y. Freund and R. Schapire, "A short introduction to boosting," J. Japan. Soc. for Artif. Intel., vol. 14, no. 5, pp. 771-780, 1999.
20. B. D. Ripley, Pattern Recognition and Neural Networks. Cambridge: Cambridge University Press, 1996.