We present in this paper high level information fusion approaches available for numeric and symbolic data. We analyse the interest of such methods particularly for classifier fusion. A comparative study is presented for the seabed characterization form sonar images. Pattern recognition of the kind of sediments on sonar images is a hard problem because of the complexity of the data. We compare high level information fusion approach and show the obtained benefit.