Geometrical features for the classification of very high resolution multispectral remote-sensing images

Bin Luo (1) , Jocelyn Chanussot (1)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

In order to extract geometrical features from a multispectral image and derive a classification, an approach based on the topographic map of the image is proposed. For each pixel, the most significant structure containing it is extracted. The classification of this pixel is based on its spectral information and the geometrical features of the corresponding structure (its area and perimeter). The results obtained on multispectral remote sensing images taken by two different sensors show the efficiency of the extracted geometrical features for separating some classes with very similar spectral attributes but of different semantic meanings.

Domaines: Traitement des images [eess.IV]

Bin Luo, Jocelyn Chanussot. Geometrical features for the classification of very high resolution multispectral remote-sensing images. ICIP 2010 - 17th IEEE International Conference on Image Processing, Sep 2010, Hong Kong, Hong Kong SAR China. conference proceedings. ⟨hal-00578965⟩