Multimodal probabilistic latent semantic analysis for Sentinel-1 and Sentinel-2 image fusion

IEEE Geoscience and Remote Sensing Letters

Volumn 15, Issue 9, 2018, Pages 1347-1351

  Fernandez Beltran, Ruben ^a   Haut, Juan M ^b   Paoletti, Mercedes E ^b   Plaza, Javier ^b   Plaza, Antonio ^b   Pla, Filiberto ^a  

^a UNIVERSITAT JAUME I   (Spain)

^b UNIVERSITY OF EXTREMADURA   (Spain)

Author keywords

Image fusion; land cover categorization; probabilistic latent semantic analysis (pLSA); Sentinel 1; Sentinel 2

Indexed keywords

DATA STRUCTURES; FEATURE EXTRACTION; IMAGE ANALYSIS; PROBABILISTIC LOGICS; RADAR IMAGING; REMOTE SENSING; SEMANTICS; STATISTICS; SYNTHETIC APERTURE RADAR;

LAND COVER; LATENT DIRICHLET ALLOCATION; MULTISPECTRAL IMAGING; PROBABILISTIC LATENT SEMANTIC ANALYSIS; PROBABILISTIC TOPIC MODELS; REMOTE SENSING IMAGES; SENTINEL-1; SENTINEL-2;

IMAGE FUSION;

DATA SET; IMAGE ANALYSIS; LAND COVER; NUMERICAL MODEL; PROBABILITY; REMOTE SENSING; SATELLITE IMAGERY; SENTINEL;

EID: 85048871759     PISSN: 1545598X     EISSN: 15580571     Source Type: Journal    
DOI: 10.1109/LGRS.2018.2843886     Document Type: Article

References (18)

1. M. Drusch, et al., "Sentinel-2: ESA's optical high-resolution mission for GMES operational services, " Remote Sens. Environ., vol. 120, pp. 25-36, May 2012.
2. R. Torres, et al., "GMES Sentinel-1 mission, " Remote Sens. Environ., vol. 120, pp. 9-24, May 2012.
3. M. E. Paoletti, J. M. Haut, J. Plaza, A. Plaza, "A new deep convolutional neural network for fast hyperspectral image classification, " ISPRS J. Photogramm. Remote Sens., to be published, doi: 10.1016/j.isprsjprs.2017.11.021.
4. N. Yokoya, C. Grohnfeldt, J. Chanussot, "Hyperspectral and multispectral data fusion: A comparative review of the recent literature, " IEEE Geosci. Remote Sens. Mag., vol. 5, no. 2, pp. 29-56, Jun. 2017.
5. B. Waske and S. van der Linden, "Classifying multilevel imagery from SAR and optical sensors by decision fusion, " IEEE Trans. Geosci. Remote Sens., vol. 46, no. 5, pp. 1457-1466, May 2008.
6. C. Sukawattanavijit, J. Chen, H. Zhang, "GA-SVM algorithm for improving land-cover classification using SAR and optical remote sensing data, " IEEE Geosci. Remote Sens. Lett., vol. 14, no. 3, pp. 284-288, Mar. 2017.
7. H. Zhang, H. Lin, Y. Li, "Impacts of feature normalization on optical and SAR data fusion for land use/land cover classification, " IEEE Geosci. Remote Sens. Lett., vol. 12, no. 5, pp. 1061-1065, May 2015.
8. D. M. Blei, "Probabilistic topic models, " Commun. ACM, vol. 55, no. 4, pp. 77-84, Apr. 2012.
9. Y. Zhong, Q. Zhu, L. Zhang, "Scene classification based on the multifeature fusion probabilistic topic model for high spatial resolution remote sensing imagery, " IEEE Trans. Geosci. Remote Sens., vol. 53, no. 11, pp. 6207-6222, Nov. 2015.
10. R. Bahmanyar, D. Espinoza-Molina, M. Datcu, "Multisensor Earth observation image classification based on a multimodal latent Dirichlet allocation model, " IEEE Geosci. Remote Sens. Lett., vol. 15, no. 3, pp. 459-463, Mar. 2018.
11. D. M. Blei, A. Y. Ng, M. I. Jordan, "Latent Dirichlet allocation, " J. Mach. Learn. Res., vol. 3, pp. 993-1022, Jan. 2003.
12. T. Hofmann, "Probabilistic latent semantic analysis, " in Proc. 15th Conf. Uncertainty Artif. Intell. San Mateo, CA, USA: Morgan Kaufmann, 1999, pp. 289-296.
13. R. Fernandez-Beltran and F. Pla, "Incremental probabilistic latent semantic analysis for video retrieval, " Image Vis. Comput., vol. 38, pp. 1-12, Jun. 2015.
14. R. Fernandez-Beltran and F. Pla, "Latent topics-based relevance feedback for video retrieval, " Pattern Recognit., vol. 51, pp. 72-84, Mar. 2016.
15. J. Chang, S. Gerrish, C. Wang, J. L. Boyd-Graber, D. M. Blei, "Reading tea leaves: How humans interpret topic models, " in Proc. Adv. Neural Inf. Process. Syst., 2009, pp. 288-296.
16. R. Fernandez-Beltran and F. Pla, "Prior-based probabilistic latent semantic analysis for multimedia retrieval, " Multimedia Tools Appl., to be published, doi: 10.1007/s11042-017-5247-z.
17. Y. Zhang, R. Jin, Z.-H. Zhou, "Understanding bag-of-words model: A statistical framework, " Int. J. Mach. Learn. Cybern., vol. 1, nos. 1-4, pp. 43-52, 2010.
18. J. M. Haut, M. Paoletti, J. Plaza, A. Plaza, "Cloud implementation of the K-means algorithm for hyperspectral image analysis, " J. Supercomput., vol. 73, no. 1, pp. 514-529, 2017.