Object-based symmetric difference for land surface segmentation scale parameter optimisation

G.J. Louw*, A. Van Niekerk, A. Rozanov

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Although multi-resolution segmentation (MRS) has been shown to delimit geomorphological boundaries more accurately than other available segmentation procedures, the selection of the appropriate parameters remains a challenge. The optimisation of scale has largely been focussed on deriving suitable scale parameters (SPs). Local variance (LV) has been shown to exploit spatial autocorrelation for identifying suitable SPs. However, further investigation into SP selection for land surface segmentation is necessary.
This paper demonstrates how symmetric difference (SD) can be used to detect suitable SPs when segmenting continuous land surfaces. Comparisons with an established suitable SP selection technique (ESP 2) are made and, finally, it is concluded that SD provides a simple and effective way of selecting suitable SPs for land surface segmentation.
Original languageEnglish
Title of host publicationProceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands
EditorsN. Kerle, M. Gerke, S. Lefevre
Place of PublicationEnschede
PublisherUniversity of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
Number of pages4
ISBN (Print)978-90-365-4201-2
DOIs
Publication statusPublished - 14 Sep 2016
Externally publishedYes
Event6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016: Solutions & Synergies - University of Twente Faculty of Geo-Information and Earth Observation (ITC), Enschede, Netherlands
Duration: 14 Sep 201616 Sep 2016
Conference number: 6
https://www.geobia2016.com/

Conference

Conference6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Abbreviated titleGEOBIA
CountryNetherlands
CityEnschede
Period14/09/1616/09/16
Internet address

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