Measuring Naturalness and Complexity Using the Fractal Dimensions of Landscape Photographs

Agnes Patuano

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract / Description of output

The fractal analysis of images is a common technique to study natural processes. Its application to landscape photographs, however, requires pre-processing which can produce widely different results. Using two categories of landscape scenes with different levels of vegetation, five types of image segmentation were compared and the resulting structures analysed with the box-counting method. The fractal dimensions estimated were compared and found to characterize either the naturalness or the complexity of the landscape scenes. This demonstrates the potential of fractal analysis for landscape perception studies, and offers a set of reliable methods to estimate the fractal dimensions of landscape photographs.
Original languageEnglish
Title of host publicationJoDLA
Subtitle of host publicationJournal of Digital Landscape Architecture
EditorsErich Buhmann, Stephen Ervin, Sigrid Hehl-Lange, James Palmer
Place of PublicationBerlin/Offenbach
PublisherWichmann Verlag im VDE VERLAG GMBH
Pages328-335
Volume3
ISBN (Print)978-3-87907-642-0
DOIs
Publication statusPublished - 2018
EventDigital Landscape Architecture Conference 2018: Expanding the boundaries: Landscape Architecture in a Big Data world - Hochschule Weihenstephan-Triesdorf/University of Applied Sciences/Munich-Freising, Germany
Duration: 30 May 20182 Jun 2018
http://www.kolleg.loel.hs-anhalt.de/landschaftsinformatik/546.html

Publication series

NameJournal of Digital Landscape Architecture
PublisherWichmann Verlag im VDE VERLAG GMBH
ISSN (Print)2367-4253
ISSN (Electronic)2511-624X

Conference

ConferenceDigital Landscape Architecture Conference 2018
Country/TerritoryGermany
Period30/05/182/06/18
Internet address

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  • Investigating Landscape Preference Using Fractal Geometry

    Patuano, A., 2019, Journal of Digital Landscape Architecture. Buhmann, E., Ervin, S., Hehl-Lange, S. & Palmer, J. (eds.). Berlin/Offenbach: VDE Verlag, Vol. 4. p. 76-83 8 p. (Journal of Digital Landscape Architecture; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

    Open Access

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