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Bibliothèque effect of input data transformations on object-based image analysis

effect of input data transformations on object-based image analysis

effect of input data transformations on object-based image analysis

Resource information

Date of publication
Décembre 2012
Resource Language
ISBN / Resource ID
AGRIS:US201600057223
Pages
21-29

The effect of using spectral transform images as input data on segmentation quality and its potential effect on products generated by object-based image analysis are explored in the context of land cover classification in Accra, Ghana. Five image data transformations are compared to untransformed spectral bands in terms of their effect on segmentation quality and final product accuracy. The relationship between segmentation quality and product accuracy is also briefly explored. Results suggest that input data transformations can aid in the delineation of landscape objects by image segmentation, but the effect is idiosyncratic to the transformation and object of interest.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Lippitt, Christopher D.
Coulter, Lloyd L.
Freeman, Mary
Lamantia-Bishop, Jeffrey
Pang, Wyson
Stow, Douglas A.

Publisher(s)
Data Provider
Geographical focus