VDM-RS: A visual data mining system for exploring and classifying remotely sensed images

Computers and Geosciences

Volumn 35, Issue 9, 2009, Pages 1827-1836

  Zhang, Jianting ^a   Gruenwald, Le ^b   Gertz, Michael ^c  

^a City College of New York   (United States)

^b University of Oklahoma   (United States)

^c UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

Data mining; Decision tree; Image classification; Remote sensing; Visualization

Indexed keywords

APPLICATIONS DOMAINS; BLACK BOXES; CHANGE DETECTION; CLASSIFICATION PROCESS; DECISION TREE CLASSIFIERS; ENVIRONMENTAL MONITORING; ERROR MATRICES; FIRE RISKS; HYPER-SPECTRAL IMAGES; IMPROVE-A; REMOTELY SENSED IMAGERY; REMOTELY SENSED IMAGES; VISUAL COMPONENTS; VISUAL DATA MINING;

CLASSIFIERS; DATA MINING; DATA VISUALIZATION; DECISION TREES; IMAGE ANALYSIS; LAND USE; LEARNING SYSTEMS; MINING; MINING MACHINERY; PIXELS; RAPID SOLIDIFICATION; REMOTE SENSING; VISUAL COMMUNICATION; VISUALIZATION;

IMAGE CLASSIFICATION;

DATA MINING; IMAGE CLASSIFICATION; IMAGERY; REMOTE SENSING; VISUALIZATION;

EID: 68749106829     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2009.02.006     Document Type: Article

References (36)

1. Ankerst, M., 2001. Visual data mining with pixel-oriented visualization techniques. In: Proceedings of ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) Workshop on Visual Data Mining, San Francisco.
2. Barlow, T., Neville, P., 2001. Case study: visualization for decision tree analysis in data mining. In: Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01), San Diego, CA, pp. 149-152.
3. Boukhelifa N., and Rodgers P.J. A model and software system for coordinated and multiple views in exploratory visualization. Information Visualization 2 (2003) 258-269
4. Dai, X., 2005. Integrated approach for the exploration of geospatial datasets: the interaction of concepts, methods and data. Ph.D. Dissertation, the Pennsylvania State University, USA, 249 pp.
5. De Colstoun E.C.B., and Walthall C.L. Improving global scale land cover classifications with multi-directional POLDER data and a decision tree classifier. Remote Sensing of Environment 100 (2006) 474-485
6. De Fries R.S., and Chan J.C.W. Multiple criteria for evaluating machine learning algorithms for land cover classification from satellite data. Remote Sensing of Environment 74 (2000) 503-515
7. de Oliveira M.C.F., and Levkowitz H. From visual data exploration to visual data mining: a survey. IEEE Transactions on Visualization and Computer Graphics 9 (2003) 378-394
8. Durbha S.S., and King R.L. Semantics-enabled framework for knowledge discovery from Earth observation data archives. IEEE Transaction on Geoscience and Remote Sensing 43 (2005) 2563-2572
9. Edsall R.M. The parallel coordinate plot in action: design and use for geographic visualization. Computational Statistics & Data Analysis 43 (2003) 605-619
10. Friedl M.A., and Brodley C.E. Decision tree classification of land cover from remotely sensed data. Remote Sensing of Environment 61 (1997) 399-409
11. Friedl M.A., McIver D.K., Hodges J.C.F., Zhang X.Y., Muchoney D., Strahler A.H., Woodcock C.E., Gopal S., Schneider A., Cooper A., Baccini A., Gao F., and Schaaf C. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment 83 (2002) 287-302
12. Gahegan M., Takatsuka M., Wheeler M., and Hardisty F. Introducing GeoVISTA studio: an integrated suite of visualization and computational methods for exploration and knowledge construction in geography. Computers, Environment and Urban Systems 26 (2002) 267-292
13. Guo D.S., Chen J., MacEachren A.M., and Liao K. A visualization system for space-time and multivariate patterns (VIS-STAMP). IEEE Transactions on Visualization and Computer Graphics 12 (2006) 1461-1474
14. Herman I., Melancon G., and Marshall M.S. Graph visualization and navigation in information visualization: a survey. IEEE Transactions on Visualization and Computer Graphics 6 1 (2000) 24-43
15. Huang R., and He M.Y. Band selection based on feature weighting for classification of hyperspectral data. IEEE Geoscience and Remote Sensing Letters 2 (2005) 156-159
16. Jeffrey, H., Stuart, K.C., James, A.L., 2005. Prefuse: a toolkit for interactive information visualization. In: Proceedings of the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) conference on Human factors in computing systems, Portland, Oregon, USA, pp. 421-430.
17. Jimenez L.O., and Landgrebe D.A. Hyperspectral data analysis and supervised feature reduction via projection pursuit. IEEE Transactions on Geoscience and Remote Sensing 37 (1999) 2653-2667
18. Keim D.A. Information visualization and visual data mining. IEEE Transactions on Visualization and Computer Graphics 8 (2002) 1-8
19. Koua E.L., Maceachren A., and Kraak M.J. Evaluating the usability of visualization methods in an exploratory geovisualization environment. International Journal of Geographical Information Science 20 (2006) 425-448
20. Li Y.K., and Bretschneider T.R. Semantic-sensitive satellite image retrieval. IEEE Transactions on Geoscience and Remote Sensing 45 (2007) 853-860
21. Liu Y., and Salvendy G. Design and evaluation of visualization support to facilitate decision trees classification. International Journal of Human-Computer Studies 65 (2007) 95-110
22. Livny, M., Ramakrishnan, R., Beyer, K., Chen, G., Donjerkovic, D., Lawande, S., Myllymaki, J., Wenger, K., 1997. DEVise: integrated querying and visual exploration of large datasets. In: Proceedings of the 1997 ACM Special Interest Group on Management of Data (SIGMOD) International Conference, Tucson, Arizona, United States, pp. 301-312.
23. Lu D., and Weng Q. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing 28 (2007) 823-870
24. Lucieer, A., 2004. Uncertainties in segmentation and their visualisation. Ph.D. Dissertation, International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands, 199 pp.
25. Melgani F., and Bruzzone L. Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing 42 (2004) 1778-1790
26. Quinlan, J.R., 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, CA, 302pp.
27. Rundensteiner E.A., Ward M.O., Yang J., and Doshi P.R. XmdvTool: visual interactive data exploration and trend discovery of high-dimensional data sets. Proceedings of the 2002 ACM Special Interest Group on Management of Data (SIGMOD) International Conference (2002), Wisconsin, Madison 631
28. Rushing J., Ramachandran R., Nair U., Graves S., Welch R., and Lin H. ADaM: a data mining toolkit for scientists and engineers. Computers & Geosciences 31 (2005) 607-618
29. Schulz, H.-J., Nocke, T., Schumann, H., 2006. A framework for visual data mining of structures. In: Proceedings of the 29th Australasian Computer Science Conference, Hobart, Australia, pp. 157-166.
30. Song H., Curran E.P., and Sterritt R. Multiple foci visualisation of large hierarchies with FlexTree. Information Visualization 3 (2004) 19-35
31. Takatsuka M., and Gahegan M. GeoVISTA studio: a codeless visual programming environment for geoscientific data analysis and visualization. Computers & Geosciences 28 (2002) 1131-1144
32. Teoh, S.T., Ma, K.-L., 2003. PaintingClass: interactive construction, visualization and exploration of decision trees. In: Proceedings of the ninth ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) International Conference, Washington, D.C., pp. 667-672.
33. Wang L.G., Jia X.P., and Zhang Y. A novel geometry-based feature-selection technique for hyperspectral imagery. IEEE Geoscience and Remote Sensing Letters 4 (2007) 171-175
34. Wilkinson G.G. Results and implications of a study of fifteen years of satellite image classification experiments. IEEE Transactions on Geoscience and Remote Sensing 43 (2005) 433-440
35. Witten I.H., and Frank E. Data Mining: Practical Machine Learning Tools with Java Implementations (2000), Morgan Kaufmann, San Francisco, CA 416pp
36. Zhang, J., Gruenwald, L., 2006. Opening the black box of feature Extraction: incorporating visualization into high-dimensional data mining processes. In: Proceedings of the Sixth IEEE International Conference on Data Mining (ICDM), Hong Kong, China, pp. 1188-1192.