Object-oriented adjacency graph partition algorithm for remote sensing image segmentation

Automatically processing high-resolution remote sensing images is currently of regional and global research priority. This paper presented an algorithm based on adjacency graph partition for high-resolution remote sensing image segmentation. The proposed algorithm utilized both the region geometrical and spectral properties to evaluate the weight of the edges and the internal dissimilarity of the region. Comparing with the Cognition on image segmentation efficiency and effect, the proposed method can save half runtime in efficiency.