Vector Attribute Profiles for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 6, 2016, Pages 3208-3220

  Aptoula, Erchan ^a   Dalla Mura, Mauro ^b   Lefevre, Sebastien ^c  

^a OKAN UNIVERSITY   (Turkey)

^b GIPSA LAB   (France)

^c UNIVERSITÉ DE BRETAGNE SUD   (France)

Author keywords

Hyperspectral images; morphological attribute profiles; multivariate morphology; vector ordering

Indexed keywords

CLASSIFICATION (OF INFORMATION); FORESTRY; HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; SPECTROSCOPY; TREES (MATHEMATICS);

DESCRIPTION METHOD; DIMENSION REDUCTION TECHNIQUES; EXPERIMENTAL COMPARISON; HIERARCHICAL REPRESENTATION; HYPER-SPECTRAL CLASSIFICATION; MORPHOLOGICAL ATTRIBUTE PROFILES; MULTIVARIATE MORPHOLOGIES; VECTOR ORDERING;

VECTORS;

DATA SET; GEOMORPHOLOGY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MULTIVARIATE ANALYSIS; PIXEL; SPATIAL DATA; VECTOR;

EID: 84955080048     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2513424     Document Type: Article

References (44)

1. K. Stankov and D.-C. He, "Building detection in very high spatial resolution multispectral images using the hit-or-miss transform," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 1, pp. 86-90, Jan. 2013.
2. L. Gueguen and M. Pesaresi, "Multi scale Harris corner detector based on differential morphological decomposition," Pattern Recognit. Lett., vol. 32, no. 14, pp. 1714-1719, Oct. 2011.
3. X. Huang, L. Zhang, L. Wang, "Evaluation of morphological texture features for mangrove forest mapping and species discrimination using multispectral IKONOS imagery," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 3, pp. 393-397, Jul. 2009.
4. S. Valero, J. Chanussot, J. A. Benediktsson, H. Talbot, B. Waske, "Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images," Pattern Recognit. Lett., vol. 31, no. 10, pp. 1120-1127, Jul. 2007.
5. E. Aptoula, "Remote sensing image retrieval with global morphological texture descriptors," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 3023-3034, May 2014.
6. G. Ouzounis, P. Soille, M. Pesaresi, "Rubble detection from VHR aerial imagery data using differential morphological profiles," in Proc. 34th Int. Symp. Remote Sens. Environ., Sydney, NSW, Australia, Apr. 2011, pp. 1-4.
7. G. Noyel, J. Angulo, D. Jeulin, "A new spatio-spectral morphological segmentation for multispectral remote sensing images," Int. J. Remote Sens., vol. 31, no. 22, pp. 5895-5920, Dec. 2010.
8. K. Bernard, Y. Tarabalka, J. Angulo, J. Chanussot, J. A. Benediktsson, "Spectral-spatial classification of hyperspectral data based on a stochastic minimum spanning forest approach," IEEE Trans. Geosci. Remote Sens., vol. 21, no. 4, pp. 2008-2021, Apr. 2012.
9. E. Aptoula, S. Lefèvre, C. Collet, "Mathematical morphology applied to the segmentation and classification of galaxies in multi-spectral images," in Proc. Eur. Signal Process. Conf., Florence, Italy, 2006, pp. 1-5.
10. Y. Tarabalka, J. Chanussot, J. A. Benediktsson, "Segmentation and classification of hyperspectral images using watershed transformation," Pattern Recognit., vol. 43, no. 7, pp. 2367-2379, Jul. 2010.
11. X. Huang, X. Guan, J. A. Benediktsson, L. Zhang, "Multiple morphological profiles from multicomponent-base images for hyperspectral image classification," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 12, pp. 4653-4669, Dec. 2014.
12. S. Bernabé, P. R. Marpu, A. Plaza, J. A. Benediktsson, "Spectral unmixing of multispectral satellite images with dimensionality expansion using morphological profiles," in Proc. SPIE Satell. Data Compression, Commun., Process., San Diego, CA, USA, 2012, vol. 8514, p. 85140Z.
13. M. Pesaresi and J. Benediktsson, "A new approach for the morphological segmentation of high resolution satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 309-320, Feb. 2001.
14. A. Plaza, P. Martinez, R. Pérez, J. Plaza, "A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles," Pattern Recognit., vol. 37, no. 6, pp. 1097-1116, Jun. 2004.
15. M. Fauvel, J. A. Benediktsson, J. Chanussot, J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Nov. 2008.
16. J. A. Benediktsson, J. A. Palmason, J. R. Sveinsson, "Classification of hyperspectral data from urban areas based on extended morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 480-491, Mar. 2005.
17. M. Dalla Mura, J. A. Benediktsson, B. Waske, L. Bruzzone, "Morphological attribute profiles for the analysis of very high resolution images," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 10, pp. 3747-3762, Oct. 2010.
18. P. Ghamisi,M. DallaMura, J. A. Benediktsson, "A survey on spectralspatial classification techniques based on attribute profiles," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 5, pp. 2335-2353, May 2015.
19. L. Najman and M. Couprie, "Building the component tree in quasi-linear time," IEEE Trans. Image Process., vol. 15, no. 11, pp. 3531-3539, Nov. 2006.
20. P. Monasse and F. Guichard, "Fast computation of a contrast-invariant image representation," IEEE Trans. Image Process., vol. 9, no. 5, pp. 860-872, May 2000.
21. M. Dalla Mura, J. A. Benediktsson, L. Bruzzone, "Self-dual attribute profiles for the analysis of remote sensing images," in Mathematical Morphology and Its Applications to Image and Signal Processing, P. Soille, G. K. Ouzounis, M. Pesaresi, Eds. Berlin, Germany: Springer-Verlag, 2011, pp. 320-330.
22. M. Dalla Mura, J. A. Benediktsson, B. Waske, L. Bruzzone, "Extended profiles with morphological attribute filters for the analysis of hyperspectral data," Int. J. Remote Sens., vol. 31, no. 22, pp. 5975-5991, Jul. 2010.
23. P. R. Marpu et al., "Classification of hyperspectral data using extended attribute profiles based on supervised and unsupervised feature extraction techniques," Int. J. Image Data Fusion, vol. 3, no. 3, pp. 269-298, Sep. 2012.
24. E. Aptoula and S. Lefèvre, "A comparative study on multivariate mathematical morphology," Pattern Recognit., vol. 40, no. 11, pp. 2914-2929, Nov. 2007.
25. C. Kurtz, B. Naegel, N. Passat, "Connected filtering based on multivalued component-trees," IEEE Trans. Image Process., vol. 23, no. 12, pp. 5152-5164, Dec. 2014.
26. F. Dell'Acqua et al., "Exploiting spectral and spatial information in hyperspectral urban data with high resolution," IEEE Geosci. Remote Sens. Lett., vol. 1, no. 4, pp. 322-326, Oct. 2004.
27. J. Serra, "Anamorphoses and function lattices," in Mathematical Morphology in Image Processing, E. R. Dougherty, Ed. New York, NY, USA: Marcel Dekker, 1993, ch. 13, pp. 483-523.
28. P. Li and H. Hu, "Segmentation of high-resolution multispectral image based on extended morphological profiles," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Barcelona, Spain, Jul. 2007, pp. 1481-1484.
29. S. Velasco-Forero and J. Angulo, "Supervised ordering in Rn: Application to morphological processing of hyperspectral images," IEEE Trans. Image Process., vol. 20, no. 11, pp. 3301-3308, Nov. 2011.
30. N. Courty, E. Aptoula, S. Lefevre, "A classwise supervised ordering approach for morphology based hyperspectral image classification," in Proc. Int. Conf. Pattern Recog., Tsukuba, Japan, Nov. 2012, pp. 1997-2000.
31. E. Aptoula, N. Courty, S. Lefèvre, "An end-member based ordering relation for the morphological description of hyperspectral images," in Proc. IEEE Int. Conf. Image Process., Paris, France, Oct. 2014, pp. 5097-5101.
32. E. Aptoula, "Hyperspectral image classification with multi-dimensional attribute profiles," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 10, pp. 2031-2035, Oct. 2015.
33. E. J. Breen and R. Jones, "Attribute openings, thinnings and granulometries," Comput. Vis. Image Understand., vol. 64, no. 3, pp. 377-389, Nov. 1996.
34. P. Salembier, A. Oliveras, L. Garrido, "Anti-extensive connected operators for image and sequence processing," IEEE Trans. Image Process., vol. 7, no. 4, pp. 555-570, Apr. 1998.
35. E. Aptoula, J. Weber, S. Lefèvre, "Vectorial quasi-flat zones for color image simplification," in Proc. Int. Symp. Math. Morphol., Uppsala, Sweden, Apr. 2013, pp. 231-242.
36. E. Aptoula, "The impact of multivariate quasi-flat zones on the morphological description of hyperspectral images," Int. J. Remote Sens., vol. 35, no. 10, pp. 3482-3498, May 2014.
37. M. Dalla Mura, A. Villa, J. A. Benediktsson, J. Chanussot, L. Bruzzone, "Classification of hyperspectral images by using extended morphological attribute profiles and independent component analysis," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 3, pp. 542-546, May 2011.
38. S. Bernabé, P. R. Marpu, A. Plaza, M. DallaMura, J. A. Benediktsson, "Spectral-spatial classification of multispectral images using kernel feature space representation," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 1, pp. 288-292, Jan. 2014.
39. M. Cramer, "The DGPF test on digital aerial camera evaluation-Overview and test design," in Proc. Photogramm.-Fernerkundung-Geoinf., 2010, vol. 2, pp. 73-82.
40. L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001.
41. M. Hu, "Visual pattern recognition by moment invariants," IRE Trans. Inf. Theory, vol. 8, no. 2, pp. 179-187, Feb. 1962.
42. E. R. Urbach, J. B. T. M. Roerdink, M. H. F. Wilkinson, "Connected shape-size pattern spectra for rotation and scale-invariant classification of gray-scale images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 2, pp. 272-285, Feb. 2007.
43. P. Ghamisi, J. A. Benediktsson, J. R. Sveinsson, "Automatic spectralspatial classification framework based on attribute profiles and supervised feature extraction," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 9, pp. 5771-5782, Sep. 2014.
44. G. Cavallaro, N. Falco, M. Dalla Mura, L. Bruzzone, J. A. Benediktsson, "Automatic threshold selection for profiles of attribute filters based on granulometric characteristic functions," in Mathematical Morphology and Its Applications to Signal and Image Processing, vol. 9082, J. Benediktsson, J. Chanussot, L. Najman, H. Talbot, Eds. Cham, Switzerland: Springer-Verlag, 2015, pp. 169-181.