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Combining the heursitic and spectral domains in semi-automated segment generation

Fourie, Christoffel Ettienne and Schöpfer, Elisabeth (2012) Combining the heursitic and spectral domains in semi-automated segment generation. GEOBIA 2012, 2012-05-07 - 2012-05-09, Rio de Janeiro, Brasilien.

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The generation of thematically accurate image segments or delineating land-cover elements is a common objective and challenge in Geographic Object Based Image Analysis (GEOBIA). A core notion to the applicability of segmentation algorithms for partitioning these land-cover elements is that said elements typically have some spectral or other homogeneity criteria that allow successful segmentation, to varying degrees. One approach that addresses this challenge models the parameterised segmentation process as a search problem. The search method is provided with a reference of optimal desired output. This idea is extended in this work by suggesting the encoding of spectral space transformations as additional variables to such a search problem. The automatic exploration and transformation of the spectral domain can allow for a closer correlation between thematic and spectral similarity of the land-cover elements of interest, thus aiding the segmentation process. Two simple spectral transformation methods functioning in conjunction with two scale-space constraint image segmentation algorithms are presented to illustrate this concept. A statistically significant improvement in segmentation results can be obtained consistently in acceptable time with this approach with off-the-shelf meta-heuristics for our test areas. It is also shown with the algorithms used in this study that the segmentation algorithm parameters (heuristic domain) are dependent on the spectral transformation parameters (spectral domain) to achieve optimal results. This necessitates simultaneous optimisation of these two domains.

Item URL in elib:https://elib.dlr.de/76726/
Document Type:Conference or Workshop Item (Paper)
Title:Combining the heursitic and spectral domains in semi-automated segment generation
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schöpfer, ElisabethUNSPECIFIEDhttps://orcid.org/0000-0002-6496-4744UNSPECIFIED
Date:8 May 2012
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:Meta-Heuristic, Semi-Automation, Segmentation, Spectral Transformation, Rapid Mapping
Event Title:GEOBIA 2012
Event Location:Rio de Janeiro, Brasilien
Event Type:international Conference
Event Start Date:7 May 2012
Event End Date:9 May 2012
Organizer:PUC Rio, INPE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Civil Crisis Information and Geo Risks
Deposited By: Schöpfer, Dr. Elisabeth
Deposited On:06 Nov 2012 11:03
Last Modified:24 Apr 2024 19:43

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