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

Fourie, Christoffel Ettienne und Schoepfer, Elisabeth (2012) Combining the heursitic and spectral domains in semi-automated segment generation. GEOBIA 2012, 7.-9. Mai 2012, 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.

Dokumentart:Konferenzbeitrag (Paper)
Titel:Combining the heursitic and spectral domains in semi-automated segment generation
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iD
Fourie, Christoffel EttienneChristoffel.Fourie@dlr.deNICHT SPEZIFIZIERT
Schoepfer, ElisabethElisabeth.Schoepfer@dlr.deNICHT SPEZIFIZIERT
Datum:8 Mai 2012
Referierte Publikation:Nein
In Open Access:Nein
In ISI Web of Science:Nein
Stichwörter:Meta-Heuristic, Semi-Automation, Segmentation, Spectral Transformation, Rapid Mapping
Veranstaltungstitel:GEOBIA 2012
Veranstaltungsort:Rio de Janeiro, Brasilien
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:7.-9. Mai 2012
Veranstalter :PUC Rio, INPE
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben Zivile Kriseninformation und Georisiken (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Zivile Kriseninformation und Georisiken
Hinterlegt von: Schöpfer, Dr. Elisabeth
Hinterlegt am:06 Nov 2012 11:03
Letzte Änderung:06 Nov 2012 11:03

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