Our world from above: texture based segmentation for landscape analysis

Evaluation of aerial pictures is of key importance for environmental analysis given the large extensions of land to study. This paper focuses on texture based segmentation of aerial images and characterisation of landscapes. Characterisation is achieved by means of a histogram of microtexture LBP/C vectors. Segmentations is hierarchically performed in a top down way by comparing the textures of potentially similar regions by metric G. The algorithm has been succesfully tested for a variety of pictures presenting different sizes and textures.

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