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Detection of discrepancies in existing land-use classification using IKONOS satellite data
Michael Gilichinsky,
Ammatzia Peled
Department of Geography and Environmental Studies
Research output
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Article
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peer-review
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Dive into the research topics of 'Detection of discrepancies in existing land-use classification using IKONOS satellite data'. Together they form a unique fingerprint.
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Keyphrases
Algorithm Analysis
14%
Band Index
14%
Change Process
14%
Classification Process
14%
Data-centric
14%
Discriminant Analysis
100%
Geoinformation Systems
28%
High-resolution
14%
IKONOS Satellite Data
100%
Information Ambiguity
14%
Interpreter
14%
Israeli
14%
Land Use
14%
Land Use Change
14%
Land Use Classes
28%
Land Use Classification
100%
Land Use Data
14%
Misclassification
14%
Polygon
71%
Ratio Index
14%
Satellite Images
14%
Spatial Database
28%
Spectral Data
14%
Spectral Properties
28%
Earth and Planetary Sciences
Discriminant Analysis
100%
IKONOS
100%
Indexes (Ratios)
14%
Land Use
71%
Land Use Classification
100%
Satellite Data
100%
Satellite Image
14%