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Identification of practically visible spatial objects in natural environments


Tomko, Martin; Trautwein, Friedjoff; Purves, Ross S (2009). Identification of practically visible spatial objects in natural environments. In: Sester, Monika; Bernard, Lards; Paelke, Volker. Advances in GIScience. Berlin: Springer (Bücher), 1-23.

Abstract

Image retrieval of landscape photographs requires accurate annotation using multi-faceted descriptions relating to the subject and content of the photograph. The subject of such photographs is dominantly the terrain and spatial objects visible from the photographer’s viewpoint. While some spatial objects in the background may be obscured by foreground vegetation, other visible spatial objects beyond a certain distance may not present noteworthy elements of the captured scene (such as distant houses). Our aim is to assess approaches to improve the identification of practically visible spatial objects for image annotation. These approaches include the consideration of the apparent spatial object size and landcover information about occluding vegetation. These inputs are used to enhance viewshed analysis to accurately identify only spatial objects practically visible and therefore likely to be notable subjects of a photograph. The two approaches are evaluated in an experiment in a semi-rural area of Switzerland, whose results indicate that visual magnitude is key in accurate identification of visible spatial objects.

Abstract

Image retrieval of landscape photographs requires accurate annotation using multi-faceted descriptions relating to the subject and content of the photograph. The subject of such photographs is dominantly the terrain and spatial objects visible from the photographer’s viewpoint. While some spatial objects in the background may be obscured by foreground vegetation, other visible spatial objects beyond a certain distance may not present noteworthy elements of the captured scene (such as distant houses). Our aim is to assess approaches to improve the identification of practically visible spatial objects for image annotation. These approaches include the consideration of the apparent spatial object size and landcover information about occluding vegetation. These inputs are used to enhance viewshed analysis to accurately identify only spatial objects practically visible and therefore likely to be notable subjects of a photograph. The two approaches are evaluated in an experiment in a semi-rural area of Switzerland, whose results indicate that visual magnitude is key in accurate identification of visible spatial objects.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2009
Deposited On:19 Feb 2010 15:55
Last Modified:05 Apr 2016 13:55
Publisher:Springer (Bücher)
Series Name:Lecture Notes in Geoinformation and Cartography
ISSN:1863-2246
ISBN:978-3-642-00317-2 (P) 978-3-642-00318-9 (E)
Additional Information:Proceedings of the 12th AGILE conference. - The original publication is available at www.springerlink.com
Publisher DOI:https://doi.org/10.1007/978-3-642-00318-9_1

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