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Archaeology International
Architecture_MPS
Europe and the World: A law review
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International Journal of Development Education and Global Learning
International Journal of Social Pedagogy
Jewish Historical Studies: A Journal of English-Speaking Jewry
Journal of Bentham Studies
London Review of Education
Radical Americas
Research for All
The Journal of the Sylvia Townsend Warner Society
The London Journal of Canadian Studies
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About UCL Press
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Object-Based Image Analysis
Object-based image analysis for remote sensing applications: modeling reality – dealing with complexity
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Author(s):
S. Lang
Publication date
(Print):
2008
Publisher:
Springer Berlin Heidelberg
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Open source discrete and agent-based modeling frameworks for biology
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Review Article Digital change detection techniques using remotely-sensed data
Ashbindu Singh
(1989)
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Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information
Ursula Benz
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Wolf Hofmann
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Gregor Willhauck
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(2004)
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A multi-scale segmentation/object relationship modelling methodology for landscape analysis
C. Burnett
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Thomas Blaschke
(2003)
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Book Chapter
Pages
: 3-27
DOI:
10.1007/978-3-540-77058-9_1
SO-VID:
dc902063-3d0d-4869-9ba0-d466865ce653
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Book chapters
pp. 3
Object-based image analysis for remote sensing applications: modeling reality – dealing with complexity
pp. 29
Progressing from object-based to object-oriented image analysis
pp. 555
Opportunities and limitations of object based image analysis for detecting urban impervious and vegetated surfaces using true-colour aerial photography
pp. 75
Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline
pp. 91
Image objects and geographic objects
pp. 291
Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery
pp. 531
Detecting informal settlements from QuickBird data in Rio de Janeiro using an object based approach
pp. 663
Support Vector Machine Classification for Object-Based Image Analysis
pp. 679
Genetic adaptation of segmentation parameters
pp. 769
Assessing image segmentation quality – concepts, methods and application
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