Paper Info
Title
Complexity-Based Matching Between Image Resolution And Map Scale For Multiscale Image-Map Generation
Abstract
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.
Year
DOI
Venue
2021
10.1080/13658816.2021.1885674
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
DocType
Volume
Image resolution, map scale, line network complexity, line complexity, image-map
Journal
35
Issue
ISSN
Citations 
10
1365-8816
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Qian Peng101.35
Zhilin Li243362.27
Jun Chen320721.33
Wanzeng Liu401.01