Analysing satellite image time series by means of pattern mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6283 LNCS, Issue , 2010, Pages 45-52

  Petitjean, François ^a   Gançarski, Pierre ^a   Masseglia, Florent ^b   Forestier, Germain ^a  

^a Faculté de Médecine   (France)

^b INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CHANGE DETECTION; FREQUENT PATTERNS; IMAGE TIME-SERIES; MULTIPLE POINTS; PATTERN MINING; SATELLITE IMAGES; SEQUENTIAL-PATTERN MINING;

ENGINEERING EDUCATION;

TIME SERIES;

EID: 78049381893     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15381-5_6     Document Type: Conference Paper

References (12)

1. Agrawal, R., Srikant, R.: Mining Sequential Patterns. In: Proceedings of the 11th International Conference on Data Engineering (ICDE'95), pp. 3-14 (1995)
2. Masseglia, F., Cathala, F., Poncelet, P.: The PSP Approach for Mining Sequential Patterns. In: Proceedings of the 2nd European Symposium on Principles of Data Mining and Knowledge Discovery (1998)
3. Bruzzone, L., Prieto, D.: Automatic analysis of the difference image for unsupervised change detection. IEEE Transactions on Geoscience and Remote Sensing 38 (3), 1171-1182 (2000)
4. Todd, W.: Urban and regional land use change detected by using Landsat data. Journal of Research by the US Geological Survey 5, 527-534 (1977)
5. Johnson, R., Kasischke, E.: Change vector analysis: a technique for the multispectral monitoring of land cover and condition. International Journal of Remote Sensing 19 (16), 411-426 (1998)
6. Foody, G.: Monitoring the magnitude of land-cover change around the southern limits of the Sahara. Photogrammetric Engineering and Remote Sensing 67 (7), 841-848 (2001)
7. Nielsen, A., Conradsen, K., Simpson, J.: Multivariate Alteration Detection (MAD) and MAF Postprocessing in Multispectral, Bitemporal Image Data: New Approaches to Change Detection Studies. Remote Sensing of Environment 64 (1), 1-19 (1998)
8. Jha, C., Unni, N.: Digital change detection of forest conversion of a dry tropical Indian forest region. International Journal of Remote Sensing 15 (13), 2543-2552 (1994)
9. Andres, L., Salas, W., Skole, D.: Fourier analysis of multi-temporal AVHRR data applied to a land cover classification. International Journal of Remote Sensing 15 (5), 1115-1121 (1994)
10. Kennedy, R. E., Cohen, W. B., Schroeder, T. A.: Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sensing of Environment 110 (3), 370-386 (2007)
11. Julea, A., Méger, N., Trouvé, E., Bolon, P.: On extracting evolutions from satellite image time series. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol. 5, pp. 228-231 (2008)
12. MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, pp. 281-297 (1967)