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Article Dans Une Revue Photogrammetric engineering and remote sensing Année : 2017

Attribute profiles on derived features for urban land cover classification

Résumé

This research deals with the automatic generation of 2D land cover maps of urban areas using very high resolution multispectral aerial imagery. The appropriate selection of classifier and attributes is important to achieve high thematic accuracies. In this paper, new attributes are generated to increase the discriminative power of auxiliary information provided by remote sensing images. The generated attributes are derived from the vegetation index and elevation information using morphological attribute profiles. The extended experimental evaluation and comparison of attribute profile-based mapping solutions is conducted to derive the optimal combinations of attributes required for classification and to understand the genericity of attributes on a range of classifiers, i.e., various combinations of attributes and classifiers. Experimental results with two high resolution images show that the proposed attributes derived on auxiliary information outperform the existing attribute profiles computed on original image and its principal components.
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Dates et versions

hal-01447454 , version 1 (13-11-2019)

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Bharath Bhushan Damodaran, Joachim Höhle, Sébastien Lefèvre. Attribute profiles on derived features for urban land cover classification. Photogrammetric engineering and remote sensing, 2017, 83 (3), pp.183-193. ⟨10.14358/PERS.83.3.183⟩. ⟨hal-01447454⟩
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