Spatio-temporal reasoning for the classification of satellite image time series

Pattern Recognition Letters

Volumn 33, Issue 13, 2012, Pages 1805-1815

  Petitjean, François ^a   Kurtz, Camille ^a,b   Passat, Nicolas ^a,b   Gançarski, Pierre ^a,b  

^a Faculté de Médecine   (France)

^b UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

Data mining; Information extraction; Multi temporal Analysis; Satellite image time series; Segmentation

Indexed keywords

CLASSICAL METHODOLOGIES; CONTEXTUAL INFORMATION; HIGH SPATIAL RESOLUTION; HIGH SPATIAL RESOLUTION IMAGES; INFORMATION EXTRACTION; MULTI-TEMPORAL ANALYSIS; OBJECT BASED; SATELLITE IMAGES; SINGLE IMAGES; SPATIAL ANALYSIS; SPATIAL DIMENSION; SPATIAL RELATIONSHIPS; SPATIO-TEMPORAL REASONING; TEMPORAL ANALYSIS;

DATA MINING; IMAGE SEGMENTATION; SATELLITE IMAGERY; TIME SERIES;

PIXELS;

EID: 84864067444     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2012.06.009     Document Type: Article

References (52)

1. H.G. Akcay, and S. Aksoy Automatic detection of geospatial objects using multiple hierarchical segmentations IEEE Trans. Geosci. Remote Sensing 46 7 2008 2097 2111
2. L. Andres, W. Salas, and D. Skole Fourier analysis of multi-temporal AVHRR data applied to a land cover classification Internat. J. Remote Sensing 15 5 1994 1115 1121 (Pubitemid 24405137)
3. K. Bahirat, F. Bovolo, L. Bruzzone, and S. Chaudhuri A novel domain adaptation Bayesian classifier for updating land-cover maps with class differences in source and target domains IEEE Trans. Geosci. Remote Sensing 50 7 2012 2810 2826
4. T. Blaschke Object based image analysis for remote sensing ISPRS J. Photogrammetry Remote Sensing 65 1 2010 2 16
5. L. Bottou, and Y. Bengio Convergence properties of the k-means algorithms Proceedings of the Conference on Advances in Neural Information Processing Systems 1995 MIT Press 585 592 vol. 7
6. F. Bovolo A multilevel parcel-based approach to change detection in very high resolution multitemporal images IEEE Geosci. Remote Sensing Lett. 6 1 2009 33 37
7. L. Bruzzone, and L. Carlin A multilevel context-based system for classification of very high spatial resolution images IEEE Trans. Geosci. Remote Sensing 44 9 2006 2587 2600 (Pubitemid 44321552)
8. L. Bruzzone, and D. Prieto Automatic analysis of the difference image for unsupervised change detection IEEE Trans. Geosci. Remote Sensing 38 3 2000 1171 1182
9. A. Carleer, and E. Wolff Urban land cover multilevel region-based classification of VHR data by selecting relevant features Internat. J. Remote Sensing 27 6 2006 1035 1051 (Pubitemid 43832326)
10. N. Clinton, A. Holt, J. Scarborough, L. Yan, and P. Gong Accuracy assessment measures for object-based image segmentation goodness Photogrammetric Eng. Remote Sensing 76 3 2010 289 299
11. D. Comaniciu, and P. Meer Mean shift: A robust approach toward feature space analysis IEEE Trans. Pattern Anal. Machine Intell. 24 5 2002 603 619 (Pubitemid 34550429)
12. R. Congalton A review of assessing the accuracy of classifications of remotely sensed data Remote Sensing Environ. 37 1 1991 35 46
13. P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin Digital change detection methods in ecosystem monitoring: A review Internat. J. Remote Sensing 25 5 2004 1565 1596 (Pubitemid 38516797)
14. J. Fan, R. Wang, L. Zhang, D. Xing, and F. Gan Image sequence segmentation based on 2D temporal entropic thresholding Pattern Recognition Lett. 17 10 1996 1101 1107 (Pubitemid 126393817)
15. G. Foody Monitoring the magnitude of land-cover change around the southern limits of the Sahara Photogrammetric Eng. Remote Sensing 67 7 2001 841 848
16. R. Gaetano, G. Scarpa, and G. Poggi Hierarchical texture-based segmentation of multiresolution remote-sensing images IEEE Trans. Geosci. Remote Sensing 47 7 2009 2129 2141
17. Gueguen, L., Le Men, C., Datcu, M., 2006. Analysis of satellite image time series based on information bottleneck. In: Proceeedings of the 27th workshop on Bayesian Inference and Maximum Entropy Methods In Science and, Engineering, vol. 874, pp. 367-374. (Pubitemid 44956578)
18. O. Hagolle, M. Huc, D.V. Pascual, and G. Dedieu A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENμS, LANDSAT and SENTINEL-2 images Remote Sensing Environ. 114 8 2010 1747 1755
19. O. Hall, and G.J. Hay A multiscale object-specific approach to digital change detection Internat. J. Appl. Earth Observation Geoinformat. 4 4 2003 311 327 (Pubitemid 38242217)
20. M. Herold, X. Liu, and K. Clarke Spatial metrics and image texture for mapping urban land use Photogrammetric Eng. Remote Sensing 69 9 2003 991 1001 (Pubitemid 37078319)
21. Hofmann, P., Lohmann, P., Müller, S., 2008. Concepts of an object-based change detection process chain for GIS update: IntArchPhRS. In: 21st International Society for Photogrammetry and Remote Sensing Congress, vol. XXXVII, pp. 305-312.
22. P. Howarth, J. Piwowar, and A. Millward Time-series analysis of medium-resolution, multisensor satellite data for identifying landscape change Photogrammetric Eng. Remote Sensing 72 6 2006 653 663
23. X. Huang, and L. Zhang An adaptive mean-shift analysis approach for object extraction and classification from urban hyperspectral imagery IEEE Trans. Geosci. Remote Sensing 46 12 2008 4173 4185
24. S. Idbraim, D. Ducrot, D. Mammass, and D. Aboutajdine An unsupervised classification using a novel ICM method with constraints for land cover mapping from remote sensing imagery Internat. Rev. Comput. Software 4 2 2009 165 176
25. J.R. Jensen Urban change detection mapping using Landsat digital data Cartography Geographic Informat. Sci. 8 21 1981 127 147
26. R. Johnson, and E. Kasischke Change vector analysis: A technique for the multispectral monitoring of land cover and condition Internat. J. Remote Sensing 19 16 1998 411 426
27. P. Jönsson, and L. Eklundh TIMESAT - A program for analyzing time-series of satellite sensor data Comput. Geosci. 30 8 2004 833 845 (Pubitemid 39347629)
28. R. Kennedy, Z. Yang, and W. Cohen Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr - Temporal segmentation algorithms Remote Sensing Environ. 114 12 2010 2897 2910
29. R.E. Kennedy, W.B. Cohen, and T.A. Schroeder Trajectory-based change detection for automated characterization of forest disturbance dynamics Remote Sensing Environ. 110 3 2007 370 386 (Pubitemid 47287765)
30. C. Kurtz, N. Passat, P. Gançarski, and A. Puissant Multiresolution region-based clustering for urban analysis Internat. J. Remote Sensing 31 22 2010 5941 5973
31. C. Kurtz, N. Passat, P. Gançarski, and A. Puissant Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology Pattern Recognition 45 2 2012 685 706
32. C. Kurtz, N. Passat, A. Puissant, and P. Gançarski Hierarchical segmentation of multiresolution remote sensing images P. Soille, M. Pesaresi, G.K. Ouzounis, Proceedings of the International Symposium on Mathematical Morphology Lecture Notes in Computer Science vol. 6671 2011 Springer 343 354
33. Kurtz, C., Puissant, A., Passat, N., Gançarski, P., 2011b. An interactive approach for extraction of urban patterns from multisource images. In: Proceedings of the IEEE Joint Urban Remote Sensing Event, pp. 321-324.
34. D. Lu, P. Mausel, E. Brondizio, and E. Moran Change detection techniques Internat. J. Remote Sensing 25 37 2004 2365 2401
35. Lui, D., Cai, S., 2011. A spatial-temporal modeling approach to reconstructing land-cover change trajectories from multi-temporal satellite imagery. Annals of the Association of American Geographers, http://dx.doi.org/ 10.1080/00045608.2011.596357.
36. MacQueen, J., 1967. Some methods for classification and analysis of multivariate observations. In: Berkeley Symposium on Mathematical Statistics and Probability, pp. 281-297.
37. F. Melgani, and S.B. Serpico A statistical approach to the fusion of spectral and spatio-temporal contextual information for the classification of remote-sensing images Pattern Recognition Lett. 23 9 2002 1053 1061 (Pubitemid 34476149)
38. F. Moscheni, S. Bhattacharjee, and M. Kunt Spatio-temporal segmentation based on region merging IEEE Trans. Pattern Anal. Machine Intell. 20 9 1998 897 915 (Pubitemid 128741354)
39. I. Niemeyer, P. Marpu, and S. Nussbaum Change detection using object features Object-Based Image Analysis Lecture Notes in Geoinformation and Cartography 2008 Springer Berlin, Heidelberg 185 201 chapter 2.5
40. Y.O. Ouma, S. Josaphat, and R. Tateishi Multiscale remote sensing data segmentation and post-segmentation change detection based on logical modeling: Theoretical exposition and experimental results for forestland cover change analysis Comput. Geosci. 34 7 2008 715 737
41. B. Özdemir, S. Aksoy, S. Eckert, M. Pesaresi, and D. Ehrlich Performance measures for object detection evaluation Pattern Recognition Lett. 31 10 2010 1128 1137
42. M. Pesaresi, and J.A. Benediktsson A new approach for the morphological segmentation of high-resolution satellite imagery IEEE Trans. Geosci. Remote Sensing 39 2 2001 309 320 (Pubitemid 32270994)
43. Petitjean, F., Inglada, J., Gançarski, P., 2011a. Clustering of satellite image time series under time warping. In: Proceedings of the IEEE International Workshop on the Analysis of Multi-temporal Remote Sensing Images, pp. 69-72.
44. F. Petitjean, J. Inglada, and P. Gançarski Satellite image time series analysis under time warping IEEE Trans. Geosci. Remote Sensing 50 8 2012
45. F. Petitjean, A. Ketterlin, and P. Gançarski A global averaging method for dynamic time warping, with applications to clustering Pattern Recognition 44 3 2011 678 693
46. F. Petitjean, F. Masseglia, P. Gançarski, and G. Forestier Discovering significant evolution patterns from satellite image time series Internat. J. Neural Systems 21 6 2011 475 489
47. E. Schopfer, S. Lang, and F. Albrecht Object-fate analysis: Spatial relationships for the assessment of object transition and correspondence Object-Based Image Analysis Lecture Notes in Geoinformation and Cartography 2008 Springer Berlin, Heidelberg 785 801 chapter 8.4
48. D. Tiede, S. Lang, P. Füreder, D. Hölbling, C. Hoffmann, and P. Zeil Automated damage indication for rapid geospatial reporting Photogrammetric Eng. Remote Sensing 77 9 2011 933 942
49. D.M. Tsai, and W.Y. Chiu Motion detection using Fourier image reconstruction Pattern Recognition Lett. 29 16 2008 2145 2155
50. V.S. Tseng, C.H. Chen, P.C. Huang, and T.P. Hong Cluster-based genetic segmentation of time series with DWT Pattern Recognition Lett. 30 13 2009 1190 1197
51. J. Verbesselt, R. Hyndman, G. Newnham, and D. Culvenor Detecting trend and seasonal changes in satellite image time series Remote Sensing Environ. 114 1 2010 106 115
52. Q.Z. Wu, H.Y. Cheng, and B.S. Jeng Motion detection via change-point detection for cumulative histograms of ratio images Pattern Recognition Lett. 26 5 2005 555 563