LandEx - A geoweb tool for query and retrieval of spatial patterns in land cover datasets

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

Volumn 7, Issue 1, 2014, Pages 257-266

  Stepinski, Tomasz F ^a   Netzel, Pawel ^b   Jasiewicz, Jaroslaw ^c  

^a UNIVERSITY OF CINCINNATI   (United States)

^b UNIVERSITY OF WROC AW   (Poland)

^c ADAM MICKIEWICZ UNIVERSITY   (Poland)

Author keywords

Computerized maps; GeoWeb services; land cover datasets; pattern based similarity

Indexed keywords

FREE OPEN SOURCE SOFTWARES; GEOWEB SERVICES; JENSEN-SHANNON DIVERGENCE; LAND COVER DATASETS; OPEN GEOSPATIAL CONSORTIUM; PATTERN RECOGNITION ALGORITHMS; PATTERN-BASED SIMILARITY; STRUCTURAL SIMILARITY;

FORESTRY; PATTERN RECOGNITION; SEARCH ENGINES; SOFTWARE ENGINEERING; TOOLS;

QUERY PROCESSING;

LAND COVER; PATTERN RECOGNITION; REMOTE SENSING; SATELLITE DATA; SPATIAL ANALYSIS;

DATA BASES; DATA PROCESSING; FORESTRY; GEOMETRY; LAND USE; MAPS;

EID: 84891836129     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2260727     Document Type: Article

References (35)

1. M. Datcu, A. Pellizzari, H. Daschiel, M. Quartulli, and K. Seidel, Advanced value adding to metric resolution SAR data: Information mining, in Proc. 4th Eur. Conf. Synthetic Aperature Radar (EUSAR, 2002.
2. T. Gevers and A. W. Smeulders, Content-based image retrieval: An overview, in Emerging Topics in Computer Vision, G. M. S. B. Kang, Ed. Upper Saddle River, NJ, USA: Prentice-Hall, 2004, ch. 8, pp. 333-384.
3. R. Datta, D. Joshi, J. Li, and J. Z.Wang, Image retrieval: Ideas, influences, and trends of the new age, ACM Computing Surveys, vol. 40, pp. 1-60, 2008.
4. M. Lew, N. Sebe, C. Lifi, and R. Jain, Content-based multimedia information retrieval: State of the art and challenges, ACM Trans. Multimedia Comput., Commun., Appl., vol. 2, no. 1, pp. 1-19, 2006.
5. M. Datcu, H. Daschiel, A. Pelizzari, M. Quartulli, A. Galoppo, A. Colapicchioni, M. Pastori, K. Seidel, P. G. Marchetti, and S. D'Elia, Informationmining in remote sensing image archives: System concepts, IEEE Trans. Geosci. Remote Sens., vol. 42, no. 12, pp. 2923-2936, Dec. 2003.
6. H. Daschiel and M. Datcu, Information mining in remote sensing image archives: System evaluation, IEEE Trans. Geosci. Remote Sens., vol. 43, no. 1, pp. 188-199, Jan. 2005.
7. J. Li and R. M. 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. C.-R. Shyu, M. Klaric, G. Scott, A. S. Barb, C. Davis, and K. Palaniappan, GeoIRIS: Geospatial information retrieval and indexing systemContent mining, semantics modeling, and complex queries, IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 839-852, Apr. 2007.
9. L. Gueguen and M. Datcu, A similarity metric for retrieval of compressed objects: Application to mining sattelite images time series, IEEE Trans. Knowl. Data Eng., vol. 20, no. 4, pp. 562-575, Dec. 2008.
10. J. Fry, G. Xian, S. Jin, J. Dewitz, C. Homer, L. Yang, C. Barnes, N. Herold, and J. Wickham, Completion of the 2006 national land cover database for the conterminous united states, PE&RS, vol. 77, no. 9, pp. 858-864, 2011.
11. J. Jasiewicz and T. F. Stepinski, Example-based retrieval of alike landcover scenes from NLCD2006 database, IEEE Geosci. Remote Sens. Lett., vol. 10, no. 1, pp. 155-159, Jan. 2013.
12. R. G. Pontius, Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions, Photogrammetric Eng. Remote Sens., vol. 68, no. 10, pp. 1041-1049, 2002.
13. A. Hagen, Fuzzy set approach to assessing similarity of categorical maps, Int. J. Geograph. Inf. Sci., vol. 17, pp. 235-249, 2003.
14. T. K. Remmel and F. Csillag, Spectra of coincidences between spatial data sets: Toward hierarchical inferential comparisons of categorical maps, in Proc. GeoComputation Int. Conf., AnnArbor,MI, USA, Aug. 1-3, 2005, pp. 1-3.
15. T. K. Remmel and F. Csillag, Mutual information spectra for comparing categorical maps, Int. J. Remote Sens., vol. 27, no. 7, pp. 1425-1452, 2006.
16. W. W. Hargrove, F. M. Hoffman, and P. F. Hessburg, Mapcurves: A quantitative method for comparing categorical maps, J. Geograph. Syst., vol. 8, no. 2, pp. 187-208, 2006.
17. R. V. O'Neill, J. R. Krummel, R. H. Gardner, G. Sugihara, B. Jackson, D. L.DeAngelis,B. T. Milne,M.G. Turner,B. Zygmunt, S. W. Christensen, V. H. Dale, and R. L. Graham, Indices of landscape pattern, Landscape Ecol., vol. 1, no. 3, pp. 153-162, 1988.
18. J. D. Wickham and D. J. Norton, Mapping and analyzing landscape patterns, Landscape Ecol., vol. 9, no. 1, pp. 7-23, 1994.
19. T. R. Allen and S. J. Walsh, Spatial and compositional pattern of alpine treeline, Glacier National Park, Montana, Photogramm. Eng. Remote Sens., vol. 62, no. 11, pp. 1261-1268, 1996.
20. D. H. Cain, K. Riitters, and K. Orvis, A multi-scale analysis of landscape statistics, Landscape Ecol., vol. 12, pp. 199-212, 1997.
21. K. H. Riitters, R. V. ONeill, C. T. Hunsaker, J. D. Wickham, D. H. Yankee, S. P. Timmins, K. B. Jones, and B. L. Jackson, A factor analysis of landscape pattern and structure metrics, Landscape Ecol., vol. 10, pp. 23-39, 1995.
22. F. Herzog andA. Lausch, Supplementing land-use statisticswith landscape metrics: Some methodological considerations, Environmental Monitoring and Assessment, vol. 72, no. 1, pp. 37-50, 2001.
23. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Content-based image retrieval at the end of the early years, IEEE Trans. Pattern Anal.Mach. Intell., vol. 22, no. 12, pp. 1349-1380, Dec. 2000.
24. A. Rosenfeld and J. L. Pfaltz, Sequential operations in digital processing, J. ACM, vol. 13, pp. 471-494, 1966.
25. S. Cha, Comprehensive survey on distance/similarity measures between probability density functions, Int. J. Math. Models Methods Appl. Sci., vol. 1, no. 4, pp. 300-307, 2007.
26. J. Lin, Divergence measures based on the Shannon entropy, IEEE Trans. Inf. Theory, vol. 31, no. 1, pp. 145-151, Jan. 1991.
27. Y. Rubner, J. Puzicha, C. Tomasi, and J.M. Buhmann, Empirical evaluation of dissimilarity measures for color and texture, Comput. Vis. Image Understanding, vol. 84, pp. 25-43, 2001.
28. C. E. Shannon, A mathematical theory of communication, Bell Syst. Tech. J., vol. 27, pp. 379-423, 1948, 623-656.
29. D. R. J. Moore, TheAnnaKarenina principle applied to ecological risk assessments of multiple stressors, Human Ecolog. Risk Assessment: An Int. J., vol. 7, no. 2, pp. 231-237, 2001.
30. M. Neteler and H. Mitasova, Open Source GIS: A GRASS GIS Approach, 3rd ed. New York, NY, : Springer, 2007.
31. K. H. Riitters and R. A. Gregory, Applications of national land cover maps in united states forestry, in North America Land Cover Summit, J. C. Campbell, K. B. Jones, J. H. Smith, and M. T. Koeppe, Eds. Washington, DC, USA: Assoc. Amer. Geographers, 2008, pp. 97-106.
32. K. H. Riitters and J. D.Wickham, Decline of forest interior conditions in the conterminous united states, Sci. Rep., vol. 2, p. 653, 2012.
33. E. Uuemaa, M. Antrop, J. Roosaare, R. Marja, and U. Mander, Landscape metrics and indices: An overview of their use in landscape research, Living Rev. Landscape Res., vol. 3, no. 1, 2009.
34. W. C. Hung, Y. C. Chen, and K. S. Cheng, Comparing landcover patterns in Tokyo, Kyoto, and Taipei using ALOS multispectral images, Landscape and Urban Planning, vol. 97, pp. 132-145, 2010.
35. D. C. Brabham, Crowdsourcing as a model for problem solving. An introduction and cases, Convergence: Int. J. Res. NewMedia Technol., vol. 14, pp. 75-90, 2008.