GeoCDX: An automated change detection and exploitation system for high-resolution satellite imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 4, 2013, Pages 2067-2086

  Klaric, Matthew N ^a   Claywell, Brian C ^a   Scott, Grant J ^a   Hudson, Nicholas J ^a   Sjahputera, Ozy ^a,b   Li, Yonghong ^a,c   Barratt, Seth T ^a   Keller, James M ^a   Davis, Curt H ^a  

^a UNIVERSITY OF MISSOURI   (United States)

^b DigitalGlobe   (United States)

^c SIGMA SPACE CORPORATION   (United States)

Author keywords

Change detection algorithms; feature extraction; image registration; remote sensing; subtraction techniques

Indexed keywords

CHANGE DETECTION ALGORITHMS; CHANGE DETECTION ANALYSIS; COREGISTRATION ERROR; HIGH RESOLUTION SATELLITE IMAGERY; HIGH-LEVEL FEATURES; MISSED DETECTIONS; MULTISPECTRAL IMAGING SATELLITES; SUBTRACTION TECHNIQUES;

AUTOMATION; FEATURE EXTRACTION; IMAGE REGISTRATION; REMOTE SENSING; SIGNAL DETECTION;

SATELLITE IMAGERY;

AUTOMATION; DATA ACQUISITION; ERROR ANALYSIS; GIS; IMAGE RESOLUTION; SATELLITE IMAGERY; SENSOR; SOFTWARE;

EID: 84875647240     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2243840     Document Type: Article

References (39)

1. D. Brunner, G. Lemoine, F.-X. Thoorens, and L. Bruzzone, "Distributed geospatial data processing functionality to support collaborative and rapid emergency response," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 2, no. 1, pp. 33-46, Mar. 2009.
2. I. Munoz and M. Datcu, "System design considerations for image information mining in large archives," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 13-17, Jan. 2010.
3. S. Durbha and R. King, "Semantics-enabled framework for knowledge discovery from Earth observation data archives," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 11, pp. 2563-2572, Nov. 2005. (Pubitemid 41640780)
4. M. Datcu and K. Seidel, "Human-centered concepts for exploration and understanding of Earth observation images," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 601-609, Mar. 2005. (Pubitemid 40320281)
5. C.-R. Shyu, M. Klaric, G. Scott, A. Barb, C. Davis, and K. Palaniappan, "GeoIRIS: Geospatial information retrieval and indexing system-Content mining, semantics modeling, and complex queries," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 839-852, Apr. 2007. (Pubitemid 46495619)
6. G. J. Scott, M. N. Klaric, C. H. Davis, and C.-R. Shyu, "Entropy-balanced bitmap tree for shape-based object retrieval from large-scale satellite imagery databases," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 5, pp. 1603-1616, May 2011.
7. Open Geospatial Consortium, OpenGIS Web Map Service (WMS) Implementation Specification 2006. [Online]. Available: http://www. opengeospatial.org/ standards/wms
8. X. Dai and S. Khorram, "The effects of image misregistration on the accuracy of remotely sensed change detection," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 5, pp. 1566-1577, Sep. 1998. (Pubitemid 128748560)
9. F. Bovolo, L. Bruzzone, L. Capobianco, A. Garzelli, S. Marchesi, and F. Nencini, "Analysis of the effects of pansharpening in change detection on VHR images," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 53-57, Jan. 2010.
10. O. Sjahputera, C. Davis, B. Claywell, N. Hudson, J. Keller, M. Vincent, Y. Li,M. Klaric, and C.-R. Shyu, "GeoCDX: An automated change detection & exploitation system for high resolution satelite imagery," in Proc. IEEE IGARSS, Jul. 2008, vol. 5, pp. V-467-V-470.
11. D. Lu, P. Mausel, E. Brondízio, and E. Moran, "Change detection techniques," Int. J. Remote Sens., vol. 25, no. 12, pp. 2365-2407, Jun. 2004. (Pubitemid 38973496)
12. E. Pagot and M. Pesaresi, "Systematic study of the urban postconflict change classification performance using spectral and structural features in a support vector machine," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 1, no. 2, pp. 120-128, Jun. 2008.
13. F. Bovolo, L. Bruzzone, and M. Marconcini, "A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 7, pp. 2070-2082, Jul. 2008.
14. Y. Bazi, F. Melgani, and H. Al-Sharari, "Unsupervised change detection in multispectral remotely sensed imagery with level set methods," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 8, pp. 3178-3187, Aug. 2010.
15. T. Celik, "Multiscale change detection in multitemporal satellite images," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 4, pp. 820-824, Oct. 2009.
16. M. Dalla Mura, J. Benediktsson, F. Bovolo, and L. Bruzzone, "An unsupervised technique based on morphological filters for change detection in very high resolution images," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 433-437, Jul. 2008.
17. F. Bovolo and L. Bruzzone, "A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 1, pp. 218-236, Jan. 2007. (Pubitemid 46103908)
18. F. Pacifici, F. Del Frate, C. Solimini, andW. Emery, "An innovative neuralnet 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)
19. 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. 2010.
20. V. Tao and Y. Hu, "A comprehensive study of the rational function model for photogrammetric processing," Photogramm. Eng. Remote Sens., vol. 67, no. 12, pp. 1347-1357, Dec. 2001. (Pubitemid 34000221)
21. Shuttle Radar Topography Mission 2009. [Online]. Available: http://www2.jpl.nasa.gov/srtm/
22. M. Taylor, IKONOS Planetary Reflectance and Mean Solar Exoatmospheric Irradiance 2005. [Online]. Available: http://www.geoeye.com/CorpSite/assets/ docs/technical-papers/2009/IKONOS-Esun-Calculations.pdf
23. K. Krause, Radiometric Use of QuickBird Imagery, Nov. 2005. [Online]. Available: www.digitalglobe.com/downloads/products/QuickBird-technote-raduse-v1. pdf
24. A. Baraldi, L. Durieux, D. Simonetti, G. Conchedda, F. Holecz, and P. Blonda, "Automatic spectral-rule-based preliminary classification of radiometrically calibrated SPOT-4/-5/IRS, AVHRR/MSG, AATSR, IKONOS/QuickBird/ OrbView/GeoEye, and DMC/SPOT-1/-2 imagery-Part I: System design and implementation," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 3, pp. 1299-1325, Mar. 2010.
25. Y. Li and C. Davis, "Pixel-based invariant feature extraction and its application to radiometric co-registration for multi-temporal high-resolution satellite imagery," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 4, no. 2, pp. 348-360, Jun. 2011.
26. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
27. H. Bay, T. Tuytelaars, and L. V. Gool, "SURF: Speeded up robust features," in Proc. ECCV, 2006, pp. 404-417. (Pubitemid 44029795)
28. B. Reddy and B. Chatterji, "An FFT-based technique for translation, rotation, and scale-invariant image registration," IEEE Trans. Image Process., vol. 5, no. 8, pp. 1266-1271, Aug. 1996. (Pubitemid 126776770)
29. M. Tkalcic and J. Tasic, "Colour spaces: Perceptual, historical, and applicational background," in Proc. EUROCON, Sep. 2003, vol. 1, pp. 304-308.
30. A. Shackelford and C. Davis, "A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 9, pp. 1920-1932, Sep. 2003.
31. J. E. Bresenham, "Algorithm for computer control of a digital plotter," IBM Systems Journal, vol. 4, no. 1, pp. 25-30, Jan. 1965.
32. O. Sjahputera, G. Scott, B. Claywell, M. Klaric, N. Hudson, J. Keller, and C. Davis, "Clustering of detected changes in high-resolution satellite imagery using a stabilized competitive agglomeration algorithm," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 12, pp. 4687-4703, Dec. 2011.
33. X. Xie and G. Beni, "A validity measure for fuzzy clustering," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 8, pp. 841-847, Aug. 1991. (Pubitemid 21704193)
34. N. Pal and J. Bezdek, "On cluster validity for the fuzzy c-means model," IEEE Trans. Fuzzy Syst., vol. 3, no. 3, pp. 370-379, Aug. 1995.
35. S. Mathan, P. Ververs, M. Dorneich, S. Whitlow, J. Carciofini, D. Erdogmus,M. Pavel, C. Huang, T. Lan, and A. Adami, "Neurotechnology for image analysis: Searching for needles in haystacks efficiently," in Proc. Augmented Cognit. Int. Conf., 2006, pp. 3-11.
36. N. Bigdely-Shamlo, A. Vankov, R. Ramirez, and S. Makeig, "Brain activity-based image classification from rapid serial visual presentation," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 16, no. 5, pp. 432-441, Oct. 2008.
37. L. Gueguen and M. Datcu, "A similarity metric for retrieval of compressed objects: Application for mining satellite image time series," IEEE Trans. Knowl. Data Eng., vol. 20, no. 4, pp. 562-575, Apr. 2008.
38. L. Gueguen and M. Datcu, "Image time-series data mining based on the information-bottleneck principle," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 827-838, Apr. 2007. (Pubitemid 46495618)
39. F. Pacifici, C. Padwick, and G. Marchisio, "Unsupervised change detection frameworks for very high spatial resolution images," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Jul. 2010, pp. 2567-2570.