Experimental data

An image-map is a compromise of an image and a map. The quality of such maps is affected by a number of 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 such a situation that 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 fifteen representative areas in Hong Kong, by using maps at seven scales and eight image resolutions. Results show that this complexity-based method is capable of obtaining good matching between image resolution and map scale, in terms of both accuracy and users' preference.