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Development of Terrain Comparator with ArcObject

Development of Terrain Comparator with ArcObject. 12.07.06 Jae Sung Kim. Introduction. The information of terrain is essential for urban planning, construction of building and infrastructures. Similar terrain with existing urban could be the candidates of new urban development

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Development of Terrain Comparator with ArcObject

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  1. Development of Terrain Comparator with ArcObject 12.07.06 Jae Sung Kim

  2. Introduction • The information of terrain is essential for urban planning, construction of building and infrastructures. • Similar terrain with existing urban could be the candidates of new urban development • Motivated by statistics of DEM

  3. Development with ArcObject • VBA is object oriented programming language. • Predefined interface could be used to estimate the statistics of DEM • The difference of DEM from common raster images: The DN of images are from 0 to 255, but DN of DEM can be any value, and even negative value.

  4. Similarity criteria between terrains • Standard Deviation of DEM • The difference between Maximum and minimum elevation • Minimize objective function

  5. Similarity criteria between terrains • The absolute value, mean, and median of pixel were not used because only shape of the terrain regarded as criteria.

  6. Terrain Comparator GUI • GUI input: Path of workspace Name of objective DEM Names of Candidate DEMs The Weight factor of criteria • GUI Output: The order of similarity The Value of objective function

  7. Data used • The objective DEM The DEM of Tippecanoe County, which is rather flat area except Wabash River • The Candidate DEMs DEM of Toronto, Canada DEM of College Station, Texas DEM of mountainous area of California

  8. Example of running program

  9. Conclusion & Future work • Similar Terrain could be found based on the statistics of DEM • Some of VBA interface for rasters couldn’t be used because they were developed assuming the interval of DEM as 0~255 • There are lots of possible approaches such as edge comparison, Histogram distance, etc.

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