Extraction, representation and analysis of geographical spatial information from topographic paper maps

• Autorzy: Dhar D. B. , Chanda B.
• Języki publikacji: EN

Abstrakty

EN

Emergence of Geographical Information Systems (GIS) has facilitated map acquisition and utilization to a great extent. This paper presents novel methodology for the extraction, representation and analysis of objects and symbols from topographic sheet that are geographically important as well as their spatial interrelationship. The method exploits various image processing tools suitable for specific objects and symbols on the basis of their geometrical and morphological attributes. The output is presented as a spatial database for further query processing and hence is suitable for GIS applications. The methodology is found to perform quite satisfactorily.

Słowa kluczowe

EN

GIS; geographic objects and symbols; Layer separation; recognition; spatial information database; query processing

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2010
• Tom: Vol. 15, no 1
• Strony: 5--22
• Opis fizyczny: Bibliogr. 20 poz., rys.

Twórcy

autor

Dhar D. B.

autor

Chanda B.

• Electronics and Communication Sciences Unit Indian Statistical Institute, Kolkata 700 108, India,

Bibliografia

• [1] G. Agam and I. Dinstein. In P. Maragos, R. W. Schafer, and M. A. Butt, editors Mathematical Morphology and Its Applications to Image and Signal processing, pages 401-410. Kluwer Academic Publ., Boston, 1996.
• [2] J. K. Berry. Beyond Mapping: Concepts, Algorithms and Issues in GIS. GIS World Books, Fort Collins, 1993.
• [3] G. Bordogna, M. Pagani, G. Pasi, and G. Psaila. Managing uncertainty in location-based queries. Fuzzy Sets and Systems, 160:2241-2252, 2009.
• [4] M. Cellura, G. Cirrincione, A. Marvuglia, and A. Miraoui. Wind speed spatial estimation for energy planning in sicily: A neural kriging application. Renewable Energy, 33:1251-1266, 2008.
• [5] B. Chanda and D. Dutta Majumdar. Digital Image Processing and Analysis. Prentice Hall of India, New Delhi, 2000.
• [6] E. W. L. Cheng, H. Li, and L. Yu. A gis approach to shopping mall location selection. Building and Environment, 42:884-892, 2007.
• [7] M. P. Deseilligny, H. L. Men, and G. Stamon. Characters string recognition on maps, a method for high level reconstruction. In Proc. 3rd Int. Conf. on Document Analysis and Recognition, number I, pages 249-252, August 1995.
• [8] D. B. Dhar and B. Chanda. Extraction and recognition of geographical features from paper maps. Intl. J. Document Analysis and Recognition, 8:232-245, 2006.
• [9] N. Ebi, B. Lauterbach, and W. Anheier. An image analysis system for automatic data acquisition from coloured scanned maps. Machine Vision Applications, 7(3): 148-164, 1994.
• [10] M. Ejiri, S. Kakumoto, T. Miyatake, S. Shimada, and T. Ichikawa. Automatic recognition of design drawings and maps. In Proceedings of the Seventh International Conference on Pattern Recognition, pages 1296-1305, 1984.
• [11] G. A. Elmes, D. Weiner, and C. D’Alessandro-Scarpari. In R. Kitchen and N. Thrift, editors, International Encyclopedia of Human Geography, pages 198-209. Elsevier, Amsterdam, 2009.
• [12] L. A. Fletcher and R. Kasturi. A robust algorithm for text string separation from mixed text/graphics images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 10(6):910-918, November 1988.
• [13] J. Gao, L. Tang, W. Liu, and Z. Tang. Segmentation and recognition of dimension texts in engineering drawings. In Proc. 3rd Int. Conf. on Document Analysis and Recognition, number I, pages 528-531, August 1995.
• [14] A. Gasteratos, I. Andreadis, and Ph. Tsalides. Fuzzy soft mathematical morphology. IEE Proc. Vis. Image Signal Processing, 145:41-19, 1998.
• [15] R. C. Gonzalez and R. E. Woods. Digital Image Processing. Addison-Wesley, Reading, Massachusetts, 3rd edition, 1992.
• [16] X. Hilaire and K. Tombre. Robust and accurate vectorization of line drawings. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-28:890-904, 2006.
• [17] R. Kasturi and J. Alemany. Information extraction from images of paper-based maps. IEEE Transactions on Software Engineering, 14(5):671-675, May 1988.
• [18] K. N. V. L. N. Koundinya and B. Chanda. Detecting lines in graylevel images using search techniques. Signal Processing, 37:287-299, 1994.
• [19] K. N. V. L. N. Koundinya and B. Chanda. Line detection using search techniques and list processing. Int. J. of System Sciences, 26:1053-1011, 1995.
• [20] B. Lauterbach and W. Anheier. In I APR Workshop on Machine Vision Applications, pages 322-325. 1994.
• [21] H. Samet and A. Soffer. A legend-driven geographic symbol recognition system. In Proceedings of the Twelfth International Conference on Pattern Recognition, number II, pages 350-355, October 1994.
• [22] H. Samet and A. Soffer. Marco: Map retrieval by content. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(8):783-798, August 1996.
• [23] H. Samet and A. Soffer. Magellan : Map acquisition of geographical labels by legend analysis. International Journal of Document Analysis and Recognition, 1(2):89-101, June 1998.
• [24] J. Song, F. Su, C. L. Tai, and S. Cai. An object oriented progressive-simplification based vectorization system for engineering drawings. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-24:1048-1060, 2002.
• [25] L. E. Starr. In International Cartographic Association. July 1984.
• [26] H. Sun. Efficient algorithms for spatial configuration information retrieval. Knowledge-Based Systems, 22:403-409, 2009.
• [27] J. M. M. Tur, C. Zinggerling, and A. C. Murtra. Geographical information systems for map based navigation in urban environments. Robotics and Autonomous Systems, In Press(available online 23 June), 2009.
• [28] Website. Opengis consortium: The opengis abstract specification. Technical report, www.opengis.org/techno/abstract.html, 1996.
• [29] H. Yamada, K. Yamamoto, and K. Hosokawa. Directional mathematical morphology and reformalized hough transformation for analysis of topographic maps. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(4):380-387, April 1993.