The recognition of multi-frequency radar backscatter of non-cooperative aerospace targets, using feedforward neural networks, is investigated. Experiments are conducted on the complex backscatter of three model aircraft, measured in a compact range. For recognition, both down-range profiles (1-D) and ISAR (2-D) images of the targets are considered and features for both these representations are
... [Show full abstract] introduced. We propose a number of classification paradigms: a single feature-based classification, as well as more robust schemes. The results presented show that significant improvements in classification performance can be obtained through the integration of feature spaces and the combination of the outcomes of several classifiers.