Toward fully automatic detection of changes in suburban areas from VHR SAR images by combining multiple neural-network models

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 4, 2013, Pages 2055-2066

  Pratola, Chiara ^a   Del Frate, Fabio ^a   Schiavon, Giovanni ^a   Solimini, Domenico ^a  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Automatic change detection; COSMO SkyMed (CSK); multilayer perceptron neural network (MLP NN); pulse coupled neural network (PCNN)

Indexed keywords

AUTOMATIC CHANGE DETECTION; AUTOMATIC DETECTION; COSMO-SKYMED (CSK); MULTI-LAYER PERCEPTRON NEURAL NETWORKS; PULSE COUPLED NEURAL NETWORK; SOURCES OF INFORMATIONS; TERRESTRIAL ENVIRONMENTS; VERY HIGH SPATIAL RESOLUTION IMAGES;

NEURAL NETWORKS; SYNTHETIC APERTURE RADAR;

SIGNAL DETECTION;

ACADEMIC RESEARCH; ALGORITHM; AUTOMATION; COSMO-SKYMED; IMAGE RESOLUTION; SPATIAL RESOLUTION; SUBURBAN AREA; SYNTHETIC APERTURE RADAR; URBANIZATION;

ITALY; LAZIO; ROMA [LAZIO]; ROME;

EID: 84875650811     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2236846     Document Type: Article

References (39)

1. G. Valentini, A. Capuzi, S. Fagioli, R. Leonardi, A. Coletta, G. Angino, F. Battazza, F. Caltagirone, and F. Impagnatiello, "COSMO-Skymed program: Utilization and description of an advanced space EO dual-use asset," presented at the Proc. Envisat Symp., Montreux, Switzerland, Apr. 23-27, 2007, ESA SP-636.
2. J. E. Colwell and F. P.Weber, "Forest change detection," in Proc. 15th Int. Symp. Remote Sens. Environ., Ann Arbor, MI, 1981, pp. 839-852.
3. F. Del Frate, G. Schiavon, and C. Solimini, "Application of neural networks algorithms to QuickBird imagery for classification and change detection of urban areas," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Anchorage, AK, Sep. 20-24, 2004, pp. 1091-1094. (Pubitemid 40438315)
4. A. Singh, "Digital change detection techniques using remotely-sensed data," Int. J. Remote Sens., vol. 10, no. 6, pp. 989-1003, Jun. 1989.
5. L. Bruzzone and S. B. Serpico, "An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 4, pp. 858-867, Jul. 1997. (Pubitemid 127771125)
6. L. Bruzzone, D. Férnandez Prieto, and S. B. Serpico, "A neural-statistical approach to multitemporal and multisource remote-sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1350-1359, Mar. 1999.
7. E. J. M. Rignot and J. J. van Zyl, "Change detection techniques for ERS-1 SAR data," IEEE Trans. Geosci. Remote Sens., vol. 31, no. 4, pp. 896-906, Jul. 1993.
8. L. Bruzzone and D. F. Prieto, "An adaptive semiparametric and contextbased approach to unsupervised change detection in multitemporal remote-sensing images," IEEE Trans. Image Process., vol. 11, no. 4, pp. 452-466, Apr. 2002. (Pubitemid 34692395)
9. T. Kasetkasem and P. K. Varshney, "An image change detection algorithm based on Markov random field models," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 8, pp. 1815-1823, Aug. 2002. (Pubitemid 35170401)
10. P. Gamba, F. Dell'Acqua, and G. Lisini, "Change detection of multitemporal SAR data in urban areas combining feature-based and pixel-based techniques," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2820-2827, Oct. 2006.
11. F. Bovolo and L. Bruzzone, "An adaptive technique based on similarity measures for change detection in very high resolution SAR images," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Boston, MA, USA, Jul. 7-11, 2008, pp. 158-161.
12. G. Moser and S. B. Serpico, "Unsupervised change detection with very high-resolution SAR images by multiscale analysis and Markov random fields," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Honolulu, HI, USA, Jul. 25-30, 2010, pp. 3082-3085.
13. A. Bouaraba, A. Younsi, A. Belhadj-Aissa, M. Acheroy, N. Milisavljevic, and D. Closson, "Robust techniques for coherent change detection using COSMO-SkyMed SAR images," Progr. Electromagn. Res. M., vol. 22, pp. 219-232, 2012.
14. C. Chen and H. McNairn, "A neural network integrated approach for rice crop monitoring," Int. J. Remote Sens., vol. 27, no. 7, pp. 1367-1393, Apr. 2006. (Pubitemid 43738936)
15. D. Stathakis and A. Vasilakos, "Comparison of computational intelligence based classification techniques for remotely sensed optical image classification," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 8, pp. 2305-2318, Aug. 2006. (Pubitemid 44192169)
16. F. Del Frate, F. Pacifici, G. Schiavon, and C. Solimini, "Use of neural networks for automatic classification from high-resolution images," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 800-809, Apr. 2007. (Pubitemid 46495615)
17. C. Pratola, M. Del Greco, F. Del Frate, G. Schiavon, and D. Solimini, "Towards fully automatic generation of land cover maps from polarimetric and metric-resolution SAR data," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Honolulu, HI, U.S.A., Jul. 25-30, 2010, pp. 3102-3105.
18. C. Bishop, Neural Networks for Pattern Recognition. New York: Oxford Univ. Press, 1995.
19. F. Pacifici, F. Del Frate,W. J. Emery, P. Gamba, and J. Chanussot, "Urban mapping using coarse SAR and optical data: outcome of the 2007 GRSS data fusion contest," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 331-335, Jul. 2008.
20. F. Del Frate, F. Pacifici, and D. Solimini, "Monitoring urban land cover in Rome, Italy, and its changes by single-polarization multitemporal SAR images," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 1, no. 2, pp. 87-92, Jun. 2008.
21. F. Pacifici, F. Del Frate, C. Solimini, and W. J. Emery, "An innovative neural-net method to detect temporal changes in high-resolution optical satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 9, pp. 2940-2952, Sep. 2007. (Pubitemid 47331321)
22. Y. Ban and H. Hu, "RADARSAT fine-beam SAR data for land-cover mapping and change detection in the rural-urban fringe of the greater Toronto area," in Proc. Urban Remote Sens. Joint Event, Paris, France, Apr. 11-13, 2007, pp. 1-7.
23. F. Dell'Acqua and P. Gamba, "Discriminating urban environments using multiscale texture and multiple SAR images," Int. J. Remote Sens., vol. 27, no. 18, pp. 3797-3812, Sep. 2006. (Pubitemid 44575050)
24. F. Del Frate, C. Pratola, G. Schiavon, and D. Solimini, "Automatic features extraction in sub-urban landscape using very high resolution COSMOSkyMed SAR images," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Vancouver, Canada, Jul. 24-29, 2011, pp. 3614-3617.
25. L. Bruzzone, M. Marconcini, U. Wegmüller, and A. Wiesmann, "An advanced system for the automatic classification of multitemporal SAR images," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 6, pp. 1321-1334, Jun. 2004.
26. C. Pratola, F. Del Frate, G. Schiavon, D. Solimini, and G. Licciardi, "Characterizing land cover from X-band COSMO-SkyMed images by neural networks," in Proc. JURSE, Munich, Germany, Apr. 11-13, 2011, pp. 49-52.
27. R. Eckorn, H. J. Reitboeck, M. Arndt, and P. Dicke, "Feature linking via synchronization among distributed assemblies: simulations of results from cat visual cortex," Neural Comput., vol. 2, no. 3, pp. 293-307, Fall 1990.
28. T. Lindblad and J. M. Kinser, Image Processing Using Pulse-Coupled Neural Networks. Berlin, Germany: Springer-Verlag, 2005.
29. J. A. Karvonen, "Baltic sea ice SAR segmentation and classification using modified pulse-coupled neural networks," IEEE Trans. Geosci. Remote Sens, vol. 42, no. 7, pp. 1566-1574, Jul. 2004.
30. K.Waldemark, T. Lindblad, V. Beèanovi, J. L. L. Guillen, and P. Klingner, "Patterns from the sky: Satellite image analysis using pulse coupled neural networks for pre-processing, segmentation and edge detection," Pattern Recognit. Lett., vol. 21, no. 3, pp. 227-237, Mar. 2000. (Pubitemid 30228835)
31. G. Kuntimad and H. S. Ranganath, "Perfect image segmentation using pulse coupled neural networks," IEEE Trans. Neural Netw., vol. 10, no. 3, pp. 591-598, May 1999.
32. H. S. Ranganath and G. Kuntimad, "Object detection using pulse coupled neural networks," IEEE Trans. Neural Netw., vol. 10, no. 3, pp. 615-620, May 1999.
33. F. Del Frate, D. Latini, and C. Pratola, "Automatic object extraction from VHR satellite SAR images using pulse coupled neural networks," in Proc. SPIE Remote Sens. Event, Toulouse, France, Sep. 20-23, 2010, p. 782 905.
34. F. Pacifici and F. Del Frate, "Automatic change detection in very high resolution images with pulse-coupled neural networks," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 58-62, Jan. 2009.
35. A. Zell, G. Mamier, M. Vogt, N. Mache, R. Hübner, S. Döring, K.-U. Herrmann, T. Soyez, M. Schmalz, T. Sommer, A. Hatzigeorgiou, D. Posselt, T. Schreiner, B. Kett, G. Clemente, and J. Wieland, "SNNS Stuttgart Neural Network Simulator User Manual," Univ. of Stuttgart, Inst. for Parallel and Distrib. High Performance Syst., Stuttgart, Germany, Rep. N6/95, 1995.
36. A. Baraldi and F. Parmeggiani, "An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters," IEEE Trans. Geosci. Remote Sens, vol. 33, no. 2, pp. 293-304, Mar. 1995.
37. R. M. Haralick, K. Shammugam, and I. Dinstein, "Textural features for image classification," IEEE Trans. Syst.,Man, Cybern., vol. SMC-3, no. 6, pp. 610-621, Nov. 1973.
38. J. A. Richards, Remote Sensing Digital Image Analysis. New York: Springer-Verlag, 2005, pp. 274-276.
39. C. Pratola, F. Del Frate, G. Schiavon, and D. Solimini, "Automatic monitoring of land cover in sub-urban areas by X-band VHR COSMO-SkyMed imagery," presented at the Proc. 17th Ka Broadband Commun., Navig. Earth Observ. Conf., Palermo, Italy, Oct. 3-5, 2011.