Hurricane disaster assessments with image-driven data mining in high-resolution satellite imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 45, Issue 6, 2007, Pages 1631-1640

  Barnes, Christopher F ^a,b   Fritz, Hermann ^c   Yoo, Jeseon ^c  

^a IEEE   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c Georgia Institute of Technology   (United States)

Author keywords

tree classifiers; Emergency response planning; Image information mining; Image driven data mining; Satellite image hurricane disaster assessments

Indexed keywords

EMERGENCY RESPONSE PLANNING; HIGH RESOLUTION SATELLITE IMAGERY; HURRICANE DISASTER ASSESSMENT; IMAGE INFORMATION MINING; TREE CLASSIFIERS;

DATA MINING; DISASTER PREVENTION; IMAGE ANALYSIS; SATELLITE IMAGERY; STORMS; TREES (MATHEMATICS);

HURRICANE EFFECTS;

EID: 34249809751     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2007.890808     Document Type: Article

References (10)

1. C. F. Barnes, S. A. Rizvi, and N. M. Nasrabadi, "Advances in residual vector quantization: A review," IEEE Trans. Image Process., vol. 5, no. 2, pp. 226-262, Feb. 1996.
2. C. F. Barnes, "Image driven data mining for image content segmentation, classification and attribution," IEEE Trans. Geosci. Remote Sens., 2007, to be published.
3. C. Chang, B. Moon, A. Acharya, C. Shock, A. Sussman, and J. Saltz, "Titan: A high-performance remote sensing database," in Proc. 13th Int. Conf. Data Eng., 1997, pp. 375-384.
4. R. G. Congalton and K. Green, Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Boca Raton, FL: CRC, 1999.
5. M. Datcu, H. Dashiel, 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.
6. U. M. Fayyad, G. P. Shapiro, P. Smyth, and R. Uthurusamy, Advances in Knowledge Discovery and Data Mining. Cambridge, MA: AAI/MIT Press, 1996.
7. J. Li and R. 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.
8. G. B. Marchisio and J. Cornelison, "Content-based search and clustering of remote sensing imagery," in Proc. IGARSS, Hamburg, Germany, Jun. 1999, vol. 1, pp. 290-292.
9. C. R. Veltkamp, H. Burkhardt, and H.-P. Kriegel, State-of-the Art in Content-Based Image and Image Retrieval. Norwell, MA: Kluwer, 2001.
10. J. Zhang, H. Wynne, and M. L. Lee, "Image mining: Issues, frameworks and techniques," in Proc. 2nd Int. Workshop Multimedia Data Mining, San Francisco, CA, Aug. 2001, pp. 13-20.