VISUAL AND SPATIAL ANALYSIS:
Advances in Data Mining,
Reasoning and Problem Solving

Algorithm development technology for conflation and area-based conflation algorithm
Michael Kovalerchuk and Boris Kovalerchuk

    Sections

    1.   Introduction

    2.   Steps of the algorithm development technology

    3.   Parameter identification steps

    4.   Attempt to formalize parameters

    5.   Analyze parameter invariance

    6.   Conflation algorithm development

    7.   Determine conflatable images and algorithm limitations

    8.   Software and computational experiment

    9.   Conclusion

    10.  Acknowledgements

    11.  Exercises and problems

    12.  References

    Abstract

    This chapter presents a technology of conflation algorithm development with a wide applicability domain. The sequence of steps starts from vague but relevant expert (or just human) concepts and going toward an implemented conflation algorithm. The generic steps are illustrated with examples of specific steps from the development history of an area-based “shape size ratio” conflation algorithm. The fundamental “shape size ratio” measure underlying the algorithm has rather strong invariance property, including invariance to disproportional scaling. The implemented algorithm has been integrated into the ArcMap GIS Software as a Plug-in.

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