The concept of data fusion has received significant attention recently. Work in the field has been motivated by the belief that a single NDE measurement is sometimes inadequate and does not offer sufficient information about the specimen under test [1–5]. The rationale underlying data fusion is that the use of multiple NDE methods, together with intelligent techniques for synergistically combining the data, can potentially lead to a better estimate of the desired information.