Analysis of topographic maps for recreational purposes using decision trees

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2013, Pages 1105-1109

  Kirby, Richard ^a   Henderson, Thomas C ^a  

^a Department of Electrical and Computer Engineering   (United States)

Author keywords

decision trees; GPS; machine learning; mountain bike; recreation; route selection; topographic maps

Indexed keywords

IMAGE PROCESSING TECHNIQUE; MOUNTAIN BIKE; RECREATION; ROUTE SELECTION; SUBJECTIVE QUALITY; SUBJECTIVE RANKING; TOPOGRAPHIC FEATURES; TOPOGRAPHIC MAP;

FORECASTING; GLOBAL POSITIONING SYSTEM; IMAGE PROCESSING; LEARNING SYSTEMS; MAPS;

DECISION TREES;

EID: 84889608987     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2013.224     Document Type: Conference Paper

References (12)

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4. B. iCycle, Valley Development GmbH
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6. Marsland, Stephen. Machine Learning: An Algorithmic Perspective, CRC Press 2009. Chapter 6: Learning with Trees.
7. CS 6350 University of Utah Course Website-A3 Decision Trees
8. Henderson, T., Linton,T., Potupchik, S., and Ostanin, A. "Automatic Segmentation of Semantic Classes in Raster Map Images," IAPR Workshop on Graphics Recognition, La Rochelle, France, July, 2009.
9. Gonzalez, R., Woods, R. Digital Image Processing, Pearson Prentice Hall 2008, Upper Saddle River, NJ 07458, Chapter 3 Intensity Transformations and Spatial Filtering.
10. Y. Y. Chiang, "Harvesting Geographic Features from Heterogeneous Raster Maps," PhD Dissertation, Univserity of Southern California, Los Angeles, CA, December, 2010.
11. T. C. Henderson and T. Linton, "Raster Map Image Analysis," International Conference on Document Analysis and Recognition, July, Barcelona, Spain, 2009.
12. T. Linton, "Semantic Feature Analysis in Raster Maps," MS Thesis, University of Utah, Salt Lake City, Utah, August, 2009.