Dimensionality reduction for visual data mining of earth observation archives

IEEE Geoscience and Remote Sensing Letters

Volumn 13, Issue 11, 2016, Pages 1701-1705

  Griparis, Andreea ^a   Faur, Daniela ^a   Datcu, Mihai ^a,b  

^a UNIVERSITY POLITEHNICA OF BUCHAREST   (Romania)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Dimensionality reduction (DR); features; visualization

Indexed keywords

LAND USE; OBSERVATORIES; SEMANTICS; VIRTUAL REALITY;

DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION TECHNIQUES; ENHANCED THEMATIC MAPPERS; HIGH DIMENSIONAL SPACES; KNOWLEDGE DISCOVERY SYSTEMS; UNIVERSITY OF CALIFORNIA; VISUAL DATA EXPLORATION; WEBER LOCAL DESCRIPTORS;

DATA MINING;

EID: 84988568608     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2016.2604919     Document Type: Article

References (14)

1. J. Fan, Y. Gao, H. Luo, and R. Jain, Mining multilevel image semantics via hierarchical classification, IEEE Trans. Multimedia, vol. 10, no. 2, pp. 167-187, Feb. 2008
2. J. Camargo and F. Gonzalez, Multimodal visualization based on latent topic analysis, in Proc. IEEE ICMEW, Jul. 2014, pp. 1-6
3. K. Schoeffmann, D. Ahlstrom, and M. Hudelist, 3-D interfaces to improve the performance of visual known-item search, IEEE Trans. Multimedia, vol. 16, no. 7, pp. 1942-1951, Nov. 2014
4. M.Nakazato andT.Huang, 3Dmars: Immersive virtual reality for contentbased image retrieval, in Proc. IEEE ICME, Aug. 2001, pp. 44-47
5. M. Babaee, X. Yu, D. Merget, A. Babaeian, G. Rigoll, and M. Datcu, Interactive feature learning from SAR image patches, in Proc. IEEE IGARSS, Jul. 2015, pp. 541-544
6. M. C. F. De Oliveira and H. Levkowitz, From visual data exploration to visual data mining: A survey, IEEE Trans. Vis. Comput. Graphics, vol. 9, no. 3, pp. 378-394, Jul. 2003
7. S. Kaski and J. Peltonen, Dimensionality reduction for data visualization [applications corner], IEEE Signal Process. Mag., vol. 28, no. 2, pp. 100-104, Mar. 2011
8. L. Van der Maaten, E. Postma, and H. Van den Herik, Dimensionality reduction: A comparative review, Tilburg Univ. Tilburg, The Netherlands, Tech. Rep. TiCC TR 2009-005
9. Online]. Available: http://lvdmaaten.github.io/drtoolbox/
10. R. A. Gopinath, B. Ramabhadran, and S. Dharanipragada, Factor analysis invariant to linear transformations of data, in Proc. 5th Int. Conf. Spoken Lang. Process., 1998, pp. 397-400
11. A. M. Martinez and A. Kak, PCA versus LDA, IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 2, pp. 228-233, Feb. 2001
12. L. van der Maaten and G. E. Hinton, Visualizing high-dimensional data using t-SNE, J.Mach. Learn. Res., vol. 9, pp. 2579-2605, 2008
13. Y. Yang and S. Newsam, Bag-of-visual-words and spatial extensions for land-use classification, in Proc. 18th SIGSPATIAL Int. Conf. Adv. GIS, 2010, pp. 270-279
14. J. Chen, et al., WLD: A robust local image descriptor, IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 9, pp. 1705-1720, Sep. 2010