Interactive spectral band discovery for exploratory visual analysis of satellite images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 1, 2012, Pages 207-224

  Bratasanu, Dragos ^a   Nedelcu, Ion ^a   Datcu, Mihai ^b  

^a Romanian Space Agency   (Romania)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Feature selection; mutual information; R G B display; visual image analysis; visualization

Indexed keywords

AUTOMATIC TECHNIQUE; COMPUTER ASSISTED; HUMAN OPERATOR; MULTISPECTRAL IMAGING SENSORS; MULTISPECTRAL SATELLITE IMAGE; MUTUAL INFORMATIONS; NEW PRODUCT; OPTIMUM COMBINATION; R-G-B DISPLAY; SATELLITE IMAGES; SPATIAL RESOLUTION; SPECTRAL BAND; SPECTRAL FEATURE; VISUAL ANALYSIS; VISUAL IMAGE;

DATA FUSION; DATA VISUALIZATION; FEATURE EXTRACTION; FLOW VISUALIZATION; IMAGE ANALYSIS; VISUALIZATION;

QUALITY CONTROL;

IMAGE ANALYSIS; OPTIMIZATION; SATELLITE IMAGERY; SPATIAL RESOLUTION; VISUAL ANALYSIS; VISUALIZATION;

EID: 84857738793     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2011.2169772     Document Type: Article

References (61)

1. National System for Geospatial Intelligence, Geospatial Intelligence GEOINT Basic Doctrine, NGA, 2006.
2. European Union Satellite Center [Online]. Available: www.eusc.org
3. C. Wang and H. W. Shen, "Information theory in scientific visualization," MDI J. Entropy, vol. 13, no. 1, pp. 254-273, 2011.
4. D. Parikh, "Modeling context for image understanding," Ph.D. dissertation, Carnegie Mellon University, Pittsburgh, PA, 2009.
5. M. Datcu, H. Daschiel, 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-Part A: System concepts," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 12, pp. 2923-2936, Dec. 2003.
6. D. Bratasanu, I. Nedelcu, and M. Datcu, "Bridging the semantic gap for satellite image annotation and automatic mapping applications," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 4, no. 1, pp. 1939-1404, Mar. 2011.
7. R. Bellens, K. Douterloigne, S. Gautama, and W. Philips, "Per-pixel contextual information for classification of VHR images," in Proc. IEEE IGARSS, 2008, pp. IV-522-IV-525.
8. A. Torralba, R. Fergus, and W. Freeman, "Tiny Images," MIT, Tech. Rep., 2007.
9. 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. 1226-1238, Mar. 2005.
10. Center for Satellite Based Crisis Information (ZKI). German Remote Sensing Data Center (DFD). [Online]. Available: www.zki.dlr.de
11. A. Mitchell, The ESRI Guide To GIS Analysis. Volume 2: Spatial Measurements and Statistics. Redlands, CA: ESRI Press, 2005.
12. Manual of Remote Sensing, 2nd ed. Bethesda, MD: American Society for Photogrammetry and Remote Sensing, vol. 1.
13. H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information. Criteria of Max-Dependency, Max-Relevance and Min- Redundancy," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, no. 8, pp. 1667-1238, Aug. 2005.
14. N. Kwak and C. Choi, "Input feature selection by mutual information based on parzen window," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, no. 12, pp. 1667-1671, Dec. 2002.
15. R. Fano, Transmission of Information: A Statistical Theory of Communications. Cambridge, MA: MIT Press, 1961.
16. D. Fairchild, Color and Image Appearance Models. New York: Wiley, 2005, p. 340.
17. S. Westland and C. Ripamonti, Computational Color Science Using Matlab. New York: Wiley, 2004.
18. G. Sharma, Digital Color Imaging Handbook. Boca Raton, FL: CRC Press, 2003.
19. CIE Publication 116-1995, Industrial Color-Difference Evaluation, 2005.
20. G. Sharma, W. Wencheng, and D. Edul, The CIE2000 Color Difference Formula: Implementation Notes, Supplementary Test Data and Mathematical Observations, Color&Research Applications. New York: Wiley Interscience, 2007.
21. B. Lindbloom, Delta E (CMC). [Online]. Available: www.brucelindbloom. com 2011
22. D. Socolinsky and L. Wolff, "A new visualization paradigm for multispectral imagery and data fusion," in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, 1999, pp. 319-324.
23. D. Socolinsky and L. Wolff, "Multispectral image visualization through first order fusion," IEEE Trans. Image Process., vol. 11, no. 8, pp. 923-931, Nov. 2002. (Pubitemid 34974176)
24. S. Umbaugh, Digital Image Processing and Analysis: Human and Computer Vision Applications With CVIT Tools, 2nd ed. Boca Raton, FL: CRC Press, 2011.
25. X. Chen, T. Fang, H. Huo, andD. Li, "Graph-based feature selection for object-oriented classification in VHR airborne imagery," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 1, pt. 2, pp. 353-365, Jan. 2011.
26. M. Tory and T. Moller, "Human factors in visualization research," IEEE Trans. Computer Graphics, vol. 10, no. 1, pp. 72-84, Jun. 2004.
27. A. Walenstein, "Cognitive support in software engineering tools: A distribution cognition framework," Ph.D. dissertation, Comput. Sci. Dept., Simon Fraser Univ., British Columbia, Canada, 2002.
28. Y.Waern, "On the dinamics of mental models," in Mental Models and Human Computer Interaction, D. Ackermann andM. J. Tauber,Eds. New York: Elsevier Science, 1990, pp. 73-93.
29. P. Rheingans, "Are we there yet? Exploring with dynamic visualization," IEEE Computer Graphics and Applications, vol. 22, no. 1, pp. 6-10, 2002. (Pubitemid 34265925)
30. M. N. Gahegan, "Visualization strategies for exploratory spatial analysis," in Proc. 3rd Int. Conf. GIS and Environmental Modeling, Santa Fe, NM, 1996, CD-ROM.
31. M. Gahegan, "Four barriers to the development of effective exploratory visual analysis," Int. J. Geographical Information Science-GIS, vol. 13, no. 4, pp. 289-309, 1999.
32. E. R. Tufte, Envisioning Information. Cheshire, CT: Graphics Press, 1990.
33. M. S. Monmonier, "Strategies for the interactive exploration of geographic correlation," in Proc. 4th Int. Symp. Spatial Data Handling, K. Brassel and H. Kishimoto, Eds., 1990, pp. 381-389.
34. A. M. MacEachren and J. H. Ganter, "A pattern identification approach to cartographic visualization," Cartographica, pp. 64-91, 1990.
35. P. Robertson and J. F. O'Callaghan, "The application of perceptual color spaces to the display of remotely sensed imagery," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, Jan. 1988.
36. D. DiBiase, A. MacEachren, J. Krygier, and C. Reever, "Animation and the role of map design in scientific representations," Cartography and Geography Information Systems, vol. 19, no. 4, pp. 201-214, 1992. (Pubitemid 23377707)
37. Illuminating the Path: The R&D Agenda for Visual Analytics. National Visualization and Analytics Center, 2008.
38. J. J. van Wijk, "Views on visualization," IEEE Trans. Vis. Comput. Graph., vol. 12, pp. 421-432, 2006. (Pubitemid 43824556)
39. K. Kotwal and S. Chaudhuri, "Visualization of hyperspectral images using bilateral filtering," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2308-2316, May 2010.
40. C. Beshers and S. Feiner, "AutoVisual: Rule-based design of interactive multivariate visualizations," IEEE Comput. Graph. Applicat., vol. 13, no. 4, pp. 41-49, Jul. 1993.
41. P. K. Robertson, "A methodology for scientific data visualization: Choosing representations based on a natural scene paradigm," in Proc. 1st IEEE Conf. Visualization, Aug. 2002, pp. 114-123.
42. B. E. Rogowitz and L. A. Treinish, "An architecture for rule-based visualization," in Proc. IEEE Conf. Visualization, Aug. 2002, pp. 236-243.
43. H. Senay and E. Igantius, "Compositional analysis and synthesis of scientific data visualization techniques," in Scientific Visualization of Physical Phenomena. Hong Kong: Springer-Verlag, 1991.
44. A. Csinger, "The Psychology of Visualization," Dept. Comput. Sci., Univ. British Columbia, Canada, 1992, Technical report series.
45. J. Bertin, Graphical Semiology. Madison, WI: Univ. Wisconsin Press, 1985.
46. J. D. Mackinlay, "Automating the design of graphical presentation of relational information," ACM Trans. Graphics, vol. 5, pp. 110-141, 1986.
47. H. Senay and E. Ignatius, "A knowledge-based system for visualization design," IEEE Comput. Graph. Applicat., vol. 14, no. 6, pp. 36-47, Aug. 2002.
48. V. Jung, "Knowledge-based visualization design for geographic information systems," in ACM GIS'95, Proc. 3rd Int. Workshop on Advances in Geographic Information Systems, New York, 1995, pp. 101-108.
49. C. Johnson, "Top ten scientific visualization research problems," IEEE Comput. Graph. Applicat., vol. 24, no. 4, pp. 13-17, Aug. 2004.
50. C. Ming, A. Razdan, H. Jiuxiang, and P. Wonka, "Interactive Hyperspectral Image Visualization Using Convex Optimization," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 6, pp. 1673-1684, Jun. 2009.
51. N. Jacobson and Gupta, "Design goals and solutions for display of hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 43, pp. 2684-2692, 2005. (Pubitemid 41640792)
52. C. I. C. Harsanyi, "Hyperspectral image classification and dimensionality: An orthogonal subspace projection approach," IEEE Trans. Geosci. Remote Sens., vol. 32, pp. 779-785, 1994.
53. J. Xiuping and Richards, "Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification," in Proc. 2003 Int. Conf. Neural Networks and Signal Processing, 2003, vol. 1, pp. 14-17.
54. A. Tyo and J. S. Konsolakis, "Principal-components-based display strategy for spectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 40, pp. 593-598, 1999.
55. R. Tyo and J. S. Olsen, "PC-based display strategy for spectral imagery," in IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003, pp. 27-28.
56. M. Mignotte, "A multiresolution markovian fusion model for the color visualization of hyperspectral images," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 12, pp. 4236-4247, Dec. 2010.
57. J. Cole, "Dimensionality reduction for useful display of hyperspectral images," [Online]. Available: www.jeffcole.org/academics/ image-display/image-display.pdf
58. Z. Yingxuan, P. K. Varshney, and C. Hao, "Evaluation of ICA Based Fusion of Hyperspectral Images for Color Display," in Proc. 10th Int. Conf. Information Fusion, Jul. 2007, pp. 1-7.
59. P. Rheingans and C. Landreth, "Perceptual principles for effective visualizations," in Perceptual Issues in Visualization. New York: Springer-Verlag, 1995, pp. 59-69.
60. S. Franklin, Remote Sensing For Sustainable Forest Management. Albany, GA: Lewis Publishers, 2001.
61. A. Baraldi, V. Puzzolo, P. Blonda, L. Bruzzone, and C. Tarantina, "Automatic spectral rule-based preliminary mapping of calibrated LANDSAT TM and ETM+ images," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 9, pp. 2563-2585, 2006. (Pubitemid 44321551)