DocumentCode
1723342
Title
Entropy-Based Similarity Evaluation and Visualization of Cartographic Symbol Sets
Author
Wang, Florence Ying ; Takatsuka, Masahiro
Author_Institution
Sch. of IT, Univ. of Sydney, Sydney, NSW, Australia
fYear
2015
Firstpage
718
Lastpage
725
Abstract
In cartographic symbology, the evaluation of a symbol set´s visual similarity is an important and frequently required task. Usually, after a set of map symbols are designed, the visual similarity of symbols need to be manually examined. To fully automate this task, in this paper, we propose two approaches based on entropy calculated on SOM surface for quantifying and visualizing the visual similarities of cartographic symbol sets. Using our approaches, the visual similarities of multiple symbol sets can be compared efficiently. Apart from evaluating the visual similarities of cartographic symbol sets, both of our methods are also suitable for applications where comparing the visual similarities of multiple image datasets are required.
Keywords
cartography; entropy; image matching; self-organising feature maps; SOM surface; cartographic symbol sets visualization; cartographic symbology; entropy-based similarity evaluation; multiple image datasets; multiple symbol sets; self-organizing maps; symbol visual similarity; Entropy; Equations; Feature extraction; Mathematical model; Shape; Vectors; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Applications of Computer Vision (WACV), 2015 IEEE Winter Conference on
Conference_Location
Waikoloa, HI
Type
conf
DOI
10.1109/WACV.2015.101
Filename
7045955
Link To Document