Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2015-November, Issue , 2015, Pages 4169-4172

  Campos Taberner, Manuel ^a   Romero, Adriana ^b   Gatta, Carlo ^c   Camps Valls, Gustau ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

^c UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84962513807     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2015.7326744     Document Type: Conference Paper

References (14)

1. B. Koetz, G. Sun, F. Morsdorf, K. Ranson, M. Kneubhler, K. Itten, and B. Allgwer, "Fusion of imaging spectrometer and Li-DAR data over combined radiative transfer models for forest canopy characterization," Rem. Sens. Envir., vol. 106, no. 4, pp. 449-459, 2007.
2. A. F. Elaksher, "Fusion of hyperspectral images and LiDARbased dems for coastal mapping," Optics and Lasers in Engineering, vol. 46, no. 7, pp. 493-498, 2008.
3. A. Swatantran, R. Dubayah, D. Roberts, M. Hofton, and J. B. Blair, "Mapping biomass and stress in the sierra nevada using lidar and hyperspectral data fusion," Rem. Sens. Envir., vol. 115, no. 11, pp. 2917-2930, 2011.
4. L. Naidoo, M. Cho, R. Mathieu, and G. Asner, "Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a random forest data mining environment," ISPRS Jour. Photogram. Rem. Sens., vol. 69, no. 0, pp. 167-179, 2012.
5. M. Pedergnana, P. Marpu, M. Dalla Mura, J. Benediktsson, and L. Bruzzone, "Classification of remote sensing optical and Li-DAR data using extended attribute profiles," IEEE Jour. Sel. Top. Sig. Proc., vol. 6, no. 7, pp. 856-865, Nov 2012.
6. G. Camps-Valls, D. Tuia, L. Gómez-Chova, S. Jiménez, and J. Malo, Eds., Remote Sensing Image Processing. LaPorte, CO, USA: Morgan & Claypool Publishers, Sept 2011.
7. G. Camps-Valls, D. Tuia, L. Bruzzone, and J. Atli Benediktsson, "Advances in hyperspectral image classification: Earth monitoring with statistical learning methods," Signal Processing Magazine, IEEE, vol. 31, no. 1, pp. 45-54, Jan 2014.
8. R. Willett, M. Duarte, M. Davenport, and R. Baraniuk, "Sparsity and structure in hyperspectral imaging: Sensing, reconstruction, and target detection," IEEE Sig. Proc. Mag., vol. 31, no. 1, pp. 116-126, Jan 2014.
9. Z. Wang, N. Nasrabadi, and T. Huang, "Spatial-spectral classification of hyperspectral images using discriminative dictionary designed by learning vector quantization," IEEE Trans. Geosc. Rem. Sens., vol. 52, no. 8, pp. 4808-4822, Aug 2014.
10. S. Yang, H. Jin, M. Wang, Y. Ren, and L. Jiao, "Data-driven compressive sampling and learning sparse coding for hyperspectral image classification," IEEE Geosc. Rem. Sens. Lett., vol. 11, no. 2, pp. 479-483, Feb 2014.
11. H. Sun, X. Sun, H. Wang, Y. Li, and X. Li, "Automatic target detection in high-resolution remote sensing images using spatial sparse coding bag-of-words model," IEEE Geosc. Rem. Sens. Lett., vol. 9, no. 1, pp. 109-113, Jan 2012.
12. A. Cheriyadat, "Unsupervised feature learning for aerial scene classification," IEEE Trans. Geosc. Rem. Sens., vol. 52, no. 1, pp. 439-451, Jan 2014.
13. A. Coates and A. Ng, "The importance of encoding versus training with sparse coding and vector quantization," in ICML, 2011, pp. 921-928.
14. A. Romero, P. Radeva, and C. Gatta, "Meta-parameter free unsupervised sparse feature learning," IEEE Trans. Patt. Anal. Mach. Intell., 2014, accepted.