Automatic information retrieval from meter and sub-meter resolution satellite image data in support to crisis management

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2010, Pages 1792-1795

  Pesaresi, Martino ^a   Kemper, Thomas ^a   Gueguen, Lionel ^a   Soille, Pierre ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

Crisis management; Information extraction; Very high resolution

Indexed keywords

INFORMATION RETRIEVAL; REMOTE SENSING;

AUTOMATIC INFORMATION; AUTOMATIC INFORMATION EXTRACTION; CRISIS MANAGEMENT; JOINT RESEARCH CENTERS; SATELLITE IMAGE DATAS; SATELLITE IMAGES; TECHNICAL CHALLENGES; VERY HIGH RESOLUTION;

USER EXPERIENCE;

EID: 78650856822     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2010.5653039     Document Type: Conference Paper

References (26)

1. S. Voigt, J. Trnka, T. Kemper, T. Riedlinger, and A. Husson, Remote Sensing from Space: Supporting International Peace and Security, chapter Satellite Based Information to Support European Crisis Response, pp. 33-49, Springer - Berlin, 2009.
2. U. Deichmann, D. Ehrlich, G. Zeug, and C. Small, "Urban natural disaster risk. how can high resolution satellite data support urban risk assessments," Worldbank In Press.
3. T. Kemper, A. Wania, and M. Pesaresi, "Supporting slum mapping using very high resolution satellite data," in 33rd International Symposium on Remote Sensing of Environment, Sustaining the Millennium Development Goals, Tucson, Arizona, 2009, vol. 1-2, pp. 480-483.
4. A. Annunziato, D. Al Khudhairy, J. San Miguel Ayanz, A. De Roo, and M. Pesaresi, "Supporting the response to natural disasters," Crisis Response, vol. 5, no. 1, pp. 65, 2008.
5. B. Jasani, M. Pesaresi, S. Schneiderbauer, and G. Zeug, Remote Sensing from Space: Supporting International Peace and Security, chapter Introduction and outlook, pp. 1-3, Springer -Berlin, 2009.
6. C. Burnley, N. Stephenne, D. Buda, and E. Ehrlich, Remote Sensing from Space: Supporting International Peace and Security, chapter Definitions, Concepts and Geospatial Dimensions of Security, pp. 3-21, Springer - Berlin, 2009.
7. P. Gamba, M. Pesaresi, K. Molch, A. Gerhardinger, and G. Lisini, "Anisotropic rotation invariant built-up presence index: application to sar data," in IEEE International Geoscience and Remote Sensing Symposium, Boston - USA, July 2008.
8. M. Pesaresi, A. Gerhardinger, and F. Kayitakire, "A robust built-up area presence index by anisotropic rotation-invariant textural measure," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 1, no. 3, pp. 180-192, 2008.
9. M. Pesaresi and D. Ehrlich, Global mapping of human settlement: experiences, data sets, and prospects, chapter A methodology to quantify built-up structures from optical VHR imagery, Springer, 2009.
10. D. Al Khudhairy, I. Caravaggi, and S. Giada, "Structural damage assessment from ikonos data using change detection, object-oriented segmentation, and classification techniques," PE & RS, vol. 71, no. 5, pp. 825-837, 2005.
11. D. Ehrlich, A. Gerhardinger, C. Macdonald, M. Pesaresi, I. Caravaggi, and C. Louvrier, "Standardized damage assessment and reporting - a methodology that combines fied data and satellite data analysis for improved damage reporting," Tech. Rep., Joint Research Center - European Commission, 2006.
12. E. Pagot and M. Pesaresi, "Systematic study of the urban post-conflict change classification performance using spectral and structural features in a support vector machine," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 1, no. 2, pp. 120-128, 2008.
13. M. Pesaresi, A. Gerhardinger, and F. Haag, "Rapid damage assessment of built-up structures using vhr satellite data in tsunami affected area," International Journal of Remote Sensing, vol. 28, no. 13, pp. 3013-3036, 2007.
14. J. Trnka, T. Kemper, and S. Schneiderbauer, Advances in Management Information Systems: Volume on Information Systems for Emergency Management, chapter Do Expert Teams in Rapid Crisis Response Use Their Tools Efficiently?, Armonk, MY: M.E. Sharpe, 2009.
15. S. Eckert, "3d-building height extraction from stereo ikonos data - quantitative and qualitative validation of digital surface models - derivation of building height and building outlines," Tech. Rep., Joint Research Center - European Commission, 2008.
16. P. Soille and M. Pesaresi, "Advances in mathematical morphology applied to geosciences and remote sensing," IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 9, pp. 2042-2055, 2002.
17. M. Pesaresi and J.A. Benediktsson, "A new approach for the morphological segmentation of high-resolution satellite imagery," IEEE transactions on geoscience and remote sensing, vol. 39, no. 2, pp. 309-320, 2001.
18. P. Soille, "Constrained connectivity for hierarchical image decomposition and simplification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1132-1145, July 2008.
19. L. Gueguen, P. Soille, and M. Pesaresi, "Differential morphological decomposition segmentation: A multi-scale object based image description," in 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010.
20. S. Giada, T. De Groeve, D. Ehrlich, and P. Soille, "Information extraction from very high resolution satellite images over lukole refugee camp, tanzania," International Journal of Remote Sensing, vol. 24, no. 22, pp. 4251-4266, 2003.
21. T. Kemper, M. Jenerowicz, M. Pesaresi, and P. Soille, "Enumeration of dwellings in darfur camps from geoeye-1 satellite images using mathematical morphology," accepted in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010.
22. L. Gueguen, M. Pesaresi, P. Soille, and A. Gerhardinger, "Morphological descriptors and spatial aggregations for characterizing damaged buildings in very high resolution images," in Proc. of the ESA-EUSC-JRC 2009 conference. Image Information Mining: automation of geospatial intelligence from Earth Observation, Madrid - Spain, 2009.
23. G.K. Ouzounis, P. Soille, and M. Pesaresi, "Rubble detection from vhr aerial imagery datausing differential morphological profiles," submitted to 34th Int. Symp. on Remote Sensing of the Environment, April 10-15, 2011, Sydney.
24. D. Ehrlich, H.D. Guo, K. Molch, J.W. Ma, and M. Pesaresi, "Identifying damage caused by the 2008 wenchuan earthquake from vhr remote sensing data," International Journal of Digital Earth, vol. 2, no. 4, pp. 309-326, 2009.
25. L. Gueguen, S. Cui, G. Schwarz, and M. Datcu, "Multitemporal analysis of multisensor data: Information theoretical approaches," in IGARSS, Honolulu, USA, July 2010.
26. T. Kemper, M. Jenerowicz, L. Gueguen, D. Poli, and P. Soille, "Monitoring changes in the menik farm idp camps in sri lanka using multi-temporal very high resolution satellite data," in submitted to International Journal of Digital Earth, 2010.