4.6 Article

Complexity-based matching between image resolution and map scale for multiscale image-map generation

Journal

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/13658816.2021.1885674

Keywords

Image resolution; map scale; line network complexity; line complexity; image-map

Funding

  1. Research Grants Council, University Grants Committee [PolyU 152672/16E]
  2. National Natural Science Foundation of China [41930104]

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This project introduces a complexity-based method to achieve a good matching between image resolution and map scale, ensuring both accuracy and user preference.
An image-map is a compromise between an image and a map. The quality of such maps is affected by several factors, such as (a) the matching between the features on images and the graphic symbols from maps, (b) the complexity of background images, and (c) the representation of graphic and text symbols on the images. This project deals with the first issue. The current solution is that the accuracy of images should satisfy the accuracy standard of maps. However, images with different resolutions can satisfy the standard for a specific map scale. This may lead to a situation in which the levels of detail (LoD) in images may not match the complexity of map features although the planimetric accuracy is matched. To solve this problem, we developed a complexity-based matching between the image resolution and map scale. More precisely, the matching is based on the complexity of line features. Experimental evaluations were conducted in 15 representative areas in Hong Kong using maps at seven scales and eight image resolutions. Results show that the proposed complexity-based method is capable of obtaining good matching between image resolution and map scale in terms of both accuracy and users' preference.

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