A new time series mining approach applied to multitemporal remote sensing imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 1, 2013, Pages 140-150

  Romani, Luciana Alvim S ^a,b   De Avila, Ana Maria H ^c   Chino, Daniel Y T ^a   Zullo, Jurandir ^c   Chbeir, Richard ^d   Traina, Caetano ^a   Traina, Agma J M ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b EMBRAPA INFORMÁTICA AGROPECUÁRIA   (Brazil)

^c UNIVERSITY OF CAMPINAS   (Brazil)

^d UNIVERSITÉ DE BOURGOGNE   (France)

Author keywords

Association rules; image information mining; NOAA AVHRR images; sequential patterns

Indexed keywords

AGRICULTURE APPLICATIONS; ASSOCIATION PATTERNS; CLIMATE DATA; DATA CHARTS; GEOMETRIC CORRECTION; GRAPHICAL INTERFACE; HIGH FLEXIBILITY; IMAGE INFORMATION MINING; IMAGE PREPROCESSING; LARGE DATABASE; MINING ASSOCIATIONS; MULTI-TEMPORAL REMOTE SENSING; MULTITEMPORAL SATELLITES; NOAA-AVHRR IMAGES; PREPROCESSING MODULES; REMOTE SENSING DATA; REMOTE SENSING IMAGES; REMOTE SENSING INFORMATION; SATELLITE IMAGES; SEQUENTIAL PATTERNS; SLIDING WINDOW; SYMBOLIC REPRESENTATION; TIME-SERIES MINING; UNSUPERVISED ALGORITHMS; VALIDATION PROCESS; VEGETATION INDEX;

ALGORITHMS; ASSOCIATION RULES; IMAGE RECONSTRUCTION; MINING; REMOTE SENSING; SUGAR CANE;

TIME SERIES;

ALGORITHM; AVHRR; IMAGE CLASSIFICATION; NOAA SATELLITE; REMOTE SENSING; SATELLITE IMAGERY; SUGAR CANE; TIME SERIES; UNSUPERVISED CLASSIFICATION;

SACCHARUM;

EID: 84871757330     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2199501     Document Type: Article

References (35)

1. M. Datcu, A. Pelizzari, H. Daschiel, M. Quartulli, and K. Seidel, "Advanced value adding to metric resolution sar data: Information mining," in Proc. 4th EUSAR, p. 2002.
2. M. Datcu, H. Daschiel, A. Pelizzari, M. Quartulli, A. Galoppo, A. Colapicchioni, M. Pastori, K. Seidel, P. G. Marchetti, and S. D'Elia, "Information mining in remote sensing image archives: System concepts," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 12, pp. 2923-2936, Dec. 2003.
3. J. Li and R. M. Narayanan, "Integrated spectral and spatial information mining in remote sensing imagery," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 673-685, Mar. 2004.
4. 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. (Pubitemid 40162737)
5. R. Agrawal, C. Faloutsos, and A. Swami, "Efficient similarity search in sequence databases," in Proc. 4th Int. CFDOA, Chicago, IL, 1993, pp. 69-84.
6. G. Das, K. Lin, H. Mannila, G. Renganathan, and P. Smyth, "Rule discovery from time series," in Proc. 4th ICKDDM, New York, 1998, pp. 16-22.
7. M. J. Zaki, "Spade: An efficient algorithm for mining frequent sequences," Mach. Learn., vol. 42, no. 1/2, pp. 31-60, 2001. (Pubitemid 32872398)
8. R. Srikant and R. Agrawal, "Mining sequential patterns: Generalizations and performance improvements," in Proc. ICEDT, Avignon, France, 1996, pp. 3-17.
9. M. Klemettinen, H. Mannila, P. Ronkainen, H. Toivonen, and A. I. Verkano, "Finding interesting rules from large sets of discovered association rules," in Proc. CIKM, Gaitherburg, MD, 1994, pp. 401-407.
10. H. Mannila, H. Toivonem, and A. I. Verkamo, "Discovery of frequent episodes in event sequences," Data Mining Knowl. Discovery, vol. 1, no. 3, pp. 259-289, 1997. (Pubitemid 127721244)
11. M. Zaki, "Sequence mining in categorical domains: Incorporating constraints," in Proc. CIKM, Washington, DC, 2000, pp. 422-429.
12. S. K. Harms, J. Deogun, J. Saquer, and T. Tadesse, "Discovering representative episodal association rules from event sequences using frequent closed episode sets and event constraints," in Proc. ICDM, San Jose, CA, 2001, pp. 603-606.
13. C. Bettini, X. S. Wang, S. Jajodia, and J. L. Lin, "Discovering frequent event patterns with multiple granularities in time sequences," IEEE Trans. Knowl. Data Eng., vol. 10, no. 2, pp. 222-237, Mar./Apr. 1998. (Pubitemid 128743520)
14. J. Wang and J. Han, "BIDE: Efficient mining of frequent closed sequences," in Proc. ICDE, 2004, pp. 79-90.
15. A. Julea, N. Meger, P. Bolon, C. Rigotti, M.-P. Doin, E. Lasserre, C. Trouve, and V. Lazarescu, "Unsupervised spatiotemporal mining of satellite image time series using grouped frequent sequential patterns," Int. J. Remote Sens., vol. 49, no. 4, pp. 1417-1430, Apr. 2011.
16. S. K. Harms and J. S. Deogun, "Sequential association rule mining with time lags," J. Intell. Inf. Syst., vol. 22, no. 1, pp. 7-22, Jan. 2004.
17. T. Wu, G. Song, X. Ma, K. Xie, X. Gao, and X. Jin, "Mining geographic episode association patterns of abnormal events in global earth science data," Sci. China Ser. E, Technol. Sci., vol. 51, Supplement 1, pp. 155-164, 2008.
18. R. Honda and O. Konishi, "Temporal rule discovery for time-series satellite images and integration with RDB," in Proc. PKDD, Freiburg, Germany, 2001, pp. 204-215. (Pubitemid 33331862)
19. A. Julea, N. Méger, and E. Trouvé, "Sequential patterns extraction in multitemporal satellite images," in Proc. PKDD, 2006, pp. 96-99.
20. W. Ding, C. Eick, J. Wang, and X. Yuan, "A framework for regional association rule mining in spatial data sets," in Proc. 6th IEEE Int. Conf. Data Mining, Hong Kong, China, 2006, pp. 851-856.
21. W. Ding, T. Stepinski, and J. Salazar, "Discovery of geospatial discriminating patterns from remote sensing datasets," in Proc. SIAM ICDM, Sparks, NV, 2009, pp. 425-436.
22. J. Zhang, L. Gruenwald, and M. Gertz, "VDM-RS: A visual data mining system for exploring and classifying remotely sensed images," Comput. Geosci., vol. 35, no. 9, pp. 1827-1836, Sep. 2009.
23. W. T. Liu and F. Kogan, "Monitoring Brazilian soybean production using NOAA/AVHRR based vegetation condition indices," Int. J. Remote Sens., vol. 23, no. 6, pp. 1161-1179, 2002. (Pubitemid 34244125)
24. R. R. V. Goncalves, C. R. Nascimento, J. Zullo, Jr., and L. A. S. Romani, "Relationship between the spectral response of sugar cane, based on AVHRR/NOAA satellite images, and the climate condition, in the state of Sao Paulo (Brazil), from 2001 to 2008," in Proc. 5th Int. Workshop MultiTemp, Groton, CT, 2009, pp. 315-322.
25. B. F. T. Rudorff, M. Adami, D. A. de Aguiar, A. Gusso, W. F. da Silva, and R. M. de Freitas, "Temporal series of EVI/MODIS to identify land converted to sugarcane," in Proc. IEEE IGARSS, Cape Town, South Africa, 2009, vol. IV, pp. 252-255.
26. A. C. Xavier, B. F. T. Rudorff, Y. E. Shimabukuro, L. M. S. Berka, and M. A. Moreira, "Multi-temporal analysis of MODIS Data to classify sugarcane crop," Int. J. Remote Sens., vol. 27, no. 4, pp. 755-768, 2006.
27. C. R. Nascimento, R. R. V. Goncalves, J. Z., Jr., and L. A. S. Romani, "Estimation of sugar cane productivity using a time series of avhrr/noaa-17 images and a phenology-spectral model," in Proc. 5th Int. Anal. MultiTemp, Groton, CT, 2009, pp. 365-372.
28. L. A. S. Romani, A. M. H. Avila, J. Zullo, Jr., R. Chbeir, C. Traina, Jr., and A. J. M. Traina, "CLEARMiner: A new algorithm for mining association patterns on heterogeneous time series from climate data," in Proc. ACM SAC, Sierre, Switzerland, 2010, pp. 900-905.
29. G. W. Rosborough, D. G. Baldwin, and W. J. Emery, "Precise AVHRR image navigation," IEEE Trans. Geosci. Remote Sens., vol. 32, no. 3, pp. 644-657, May 1994.
30. W. Emery, D. G. Baldwin, and D. Matthews, "Maximum cross correlation automatic satellite image navigation and attitude corrections for openocean image navigation," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 1, pp. 33-42, Jan. 2003.
31. J. C. D. M. Esquerdo, J. F. G. Antunes, D. G. Baldwin, W. J. Emery, and J. Zullo, Jr., "An automatic system for AVHRR land surface product generation," Int. J. Remote Sens., vol. 27, no. 18, pp. 3925-3942, 2006. (Pubitemid 44575057)
32. W. J. Emery, J. Brown, and Z. P. Novak, "AVHRR image navigation: Summary and review," Photogramm. Eng. Remote Sens., vol. 55, no. 8, pp. 1175-1183, Aug. 1989.
33. P. Y. Chen, R. Srinivasan, G. Fedosejevs, and J. R. Kinitry, "Evaluating different NDVI composites techniques using NOAA ?14 AVHRR data," Int. J. Remote Sens., vol. 24, no. 17, pp. 3403-3412, 2003. (Pubitemid 36911142)
34. B. N. Holben, "Characteristics of maximum value composite images from temporal AVHRR data," Int. J. Remote Sens., vol. 7, pp. 1417-1434, 1986.
35. C. W. Thornthwaite and J. R. Mather, "The water balance," Climatology, vol. 8, no. 1, p. 104, 1955.