Abstract:

This article, based on the statistical manifold theory and combining the idea of shape context, puts forward the texture context feature which can describe the image texture target, and then realize the recognition of remote sensing image texture targets. Firstly, take the image of the gray level probability density function as the point of statistic manifold, and the statistical manifold model is then obtained to describe texture context characteristics of the image. Then we use Fisher information distance to measure similarity between points on the manifold, and the Hungary algorithm is used to match the texture context characteristics. Finally calculate matching distance to achieve similarity measure between different image targets. Experiments show that, compared with the classical gray level cooccurrence matrix, local binary patterns and statistical manifold algorithm, this method shows higher recognition for the remote sensing images with texture characteristic, and has universality and robustness.