Accelerated Probabilistic Learning Concept for Mining Heterogeneous Earth Observation Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 7, 2015, Pages 3356-3371

  Alonso, Kevin ^a   Datcu, Mihai ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Active learning (AL); bag of words (BoW); Bayesian networks; Big Data; data fusion; geographical information systems (GIS); image mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; BIG DATA; CLUSTERING ALGORITHMS; DATA FUSION; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; OBSERVATORIES; PROBABILISTIC LOGICS; RADAR IMAGING; SEMANTICS; SYNTHETIC APERTURE RADAR;

ACTIVE LEARNING; BAG OF WORDS; EARTH OBSERVATION IMAGES; GEOGRAPHICAL INFORMATION; IMAGE INFORMATION MINING; IMAGE MINING; PROTOTYPE IMPLEMENTATIONS; SYNTHETIC APERTURE RADAR (SAR) IMAGES;

SEARCH ENGINES;

ALGORITHM; BAYESIAN ANALYSIS; DATA MINING; EOS; GIS; IMAGE ANALYSIS; IMAGE PROCESSING; SYNTHETIC APERTURE RADAR;

EID: 84962595339     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2435491     Document Type: Article

References (32)

1. K. C. Clarke, "Advances in geographic information systems, " Comput. Environ. Urban Syst., vol. 10, no. 3-4, pp. 175-184, 1986.
2. R. L. Church, "Geographical information systems and location science, " Comput. Oper. Res., vol. 29, pp. 541-562, 2002.
3. R. Datta, D. Joshi, J. Li, and J. Z. Wang, "Image retrieval: Ideas, influences, and trends of the new age, " ACM Comput. Surv., vol. 40, no. 2, pp. 1-60, Apr. 2008.
4. C.-R. Shyu, M. Klaric, G. J. Scott, A. S. Barb, C. H. Davis, and K. Palaniappan, "GeoIRIS: Geospatial information retrieval and indexing system-Content mining, semantics modeling, and complex queries, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 839-852, Apr. 2007.
5. N. Boujemaa and J. Fauqueur, "Ikona: Interactive specific and generic image retrieval, " in Proc. Int. Workshop Multimedia Content Based Indexing Retrieval, 2001, pp. 2-5.
6. M. Datcu et al., "Information mining in remote sensing image archives: System concepts, " IEEE Trans. Geosci. Remote Sens., vol. 41, no. 12, pp. 2923-2936, Dec. 2003.
7. K. W. Tobin et al., "Automated feature generation in large-scale geospatial libraries for content-based indexing, " Photogramm. Eng. Remote Sens., vol. 72, no. 5, pp. 531-540, May 2006.
8. S. Natali et al., "Multitemporal data management and exploitation, " in Proc. Multi-Temp 6th Int. Workshop Anal. Multi-Temporal Remote Sens. Images, Trento, 2011, pp. 217-220.
9. S. Durbha and R. King, "Semantics-enabled framework for knowledge discovery from earth observation data archives, " IEEE Trans. Geosci. Remote Sens., vol. 43, no. 11, pp. 2563-2572, Nov. 2005.
10. F. Bovolo and L. Bruzzone, "Image information mining in time series: Algorithms and methods for prototyping, " Tech. Rep. IIMTS-TN-ACS-0102 Issue 1.0, ESA, 2007.
11. M. Molinier, J. Laaksonen, and T. Hame, "Detecting man-made structures and changes in satellite imagery with a content-based information retrieval system built on self-organizing maps, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 861-874, Apr. 2007 [Online]. Available: http://ieeexplore.ieee.org/xpls/abs-all.jsp?arnumber=4137859
12. EOlib. (2011, Dec.). Earth Observation Librarian [Online]. Available: http://deepenandlearn.esa.int/tiki-index.php?page=EOLIB+Project
13. D. Espinoza-Molina and M. Datcu, "Earth-observation image retrieval based on content, semantics, and metadata, " IEEE Trans. Geosci. Remote Sens., vol. 51, no. 11, pp. 5145-5159, Nov. 2013.
14. C. Bizer, T. Heath, and T. Berners-Lee, "Linked data-The story so far, " Int. J. Semant. Web Inf. Syst., vol. 5, no. 3, pp. 1-22, 2009 [Online]. Available: http://eprints.soton.ac.uk/271285/
15. M. Quartulli and I. G. Olaizola, "A review of EO image information mining, " ISPRS J. Photogramm. Remote Sens., vol. 75, pp. 11-28, Jan. 2013.
16. K. Alonso and M. Datcu, "Knowledge-driven image mining system for big earth observation data fusion: GIS maps inclusion in active learning stage, " in Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS14), Quebec City, Canada, 2014, pp. 3538-3541.
17. M. Schröder, H. Rehrauer, K. Seidel, and M. Datcu, "Interactive learning and probabilistic retrieval in remote sensing image archives, " IEEE Trans. Geosci. Remote Sens., vol. 38, no. 5, pp. 2288-2298, Sep. 2000.
18. D. Heckerman, "A tutorial on learning with Bayesian networks, " Microsoft Research Advanced Technology Division, Tech. Rep.MSR-TR-95-06, Nov. 1996 .
19. Y. Huang, Z.Wu, L.Wang, and T. Tan, "Feature coding in image classification: A comprehensive study, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 3, p. 493-506, Mar. 2014.
20. 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.
21. M. Haklay and P. Weber, "OpenStreetMap: User-generated street maps, " IEEE Pervasive Comput., 2008, pp. 12-18 [Online]. Available: http://ieeexplore.ieee.org/xpls/abs-all.jsp?arnumber=4653466
22. QGIS Development Team, QGIS Geographic Information System, Open Source Geospatial Foundation, 2014 [Online]. Available: http://qgis. osgeo.org
23. D. Lewis, "Naive (Bayes) at forty: The independence assumption in information retrieval, " in Machine Learning: ECML-98, vol. 1398, C. Ndellec and C. Rouveirol, Eds. New York, NY, USA: Springer, 1998, pp. 4-15 [Online]. Available: http://dx.doi.org/10.1007/BFb0026666
24. M. Schröder-Brzosniowsky, "Stochastic modeling of image content in remote sensing image archives, " Ph.D. dissertation, ETH-Swiss Federal Institute of Technology, 2000 [Online]. Available: http://dx.doi.org/10.3929/ethz-a-003851205
25. I. M. G. Muñoz, "Concepts elaboration and system architectures for mining very large image archives, " Ph.D. dissertation, Dept. Elect. Eng. Comput. Sci., Univ. of Siegen, 2009 [Online]. Available: http://www.zess. uni-siegen.de/zebra/reference.php?layout=krb&dd=D201505081119120 0056
26. H. Daschiel and M. Datcu, "Information mining in remote sensing image archives: System evaluation, " IEEE Trans. Geosci. Remote Sens., vol. 43, no. 1, pp. 188-199, Jan. 2005.
27. H. Daschiel and M. Datcu, "Image information mining system evaluation using information-theoretic measures, " EURASIP J. Appl. Signal Process., vol. 14, pp. 2153-2163, 2005.
28. M. Rehman, M. Iqbal, M. Sharif, and M. Raza, "Content based image retrieval: Survey, " World Appl. Sci. J., vol. 19, no. 3, pp. 404-412, 2012.
29. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, "Content-based image retrieval at the end of the early years, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 12, pp. 1349-1380, Dec. 2000.
30. M. Li, X. Chen, X. Li, B. Ma, and P. Vitanyi, "The similarity metric, " IEEE Trans. Inf. Theory, vol. 50, no. 12, pp. 3250-3264, Dec. 2004.
31. P. Grunwald and P. Vitanyi, "Shannon information and kolmogorov complexity, " CoRR, vol. cs.IT/0410, p. 54, 2004 [Online]. Available: http://arxiv.org/abs/cs/0410002
32. T. Fawcett, "An introduction to ROC analysis, " Pattern Recognit. Lett., vol. 27, no. 8, pp. 861-874, Jun. 2006 [Online]. Available: http://dx.doi. org/10.1016/j.patrec.2005.10.010