Hierarchical classification of complex landscape with VHR pan-sharpened satellite data and OBIA techniques

Land-cover/land-use thematic maps are a major need in urban and country planning. This paper demonstrates the capabilities of Object Based Image Analysis in multi-scale thematic classification of a complex sub-urban landscape with simultaneous presence of agricultural, residential and industrial are...

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Bibliographic Details
Published in:European journal of remote sensing 2014-01, Vol.47 (1), p.229-250
Main Authors: Gianinetto, Marco, Rusmini, Marco, Candiani, Gabriele, Via, Giorgio Dalla, Frassy, Federico, Maianti, Pieralberto, Marchesi, Andrea, Nodari, Francesco Rota, Dini, Luigi
Format: Article
Language:English
Subjects:
Classification
hierarchical classification
Image analysis
Image classification
Image resolution
Image segmentation
Industrial areas
Land cover
Land use
Multiscale analysis
OBIA
pan sharpening
Remote sensing
Satellite data
Satellite imagery
Thematic mapping
Urban environments
VHR satellite data
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Summary:Land-cover/land-use thematic maps are a major need in urban and country planning. This paper demonstrates the capabilities of Object Based Image Analysis in multi-scale thematic classification of a complex sub-urban landscape with simultaneous presence of agricultural, residential and industrial areas using pan-sharpened very high resolution satellite imagery. The classification process was carried out step by step through the creation of different hierarchical segmentation levels and exploiting spectral, geometric and relational features. The framework returned a detailed land-cover/land-use map with a Cohen's kappa coefficient of 0.84 and an overall accuracy of 85%.
ISSN:2279-7254
2279-7254
DOI:10.5721/EuJRS20144715