An ant colony optimization based inter domain cluster mapping for domain adaptation in remote sensing

A novel ant colony optimization based domain adaptation for satellite images has been proposed in the paper. Given a source domain and a target domain image, it has been considered here that we have labeled training data for the source domain image. The goal is to classify the target domain image for which no prior information is available. The proposed method exploits the advantages of ant colony optimization for performing the adaptation process. The target domain data is first over-clustered and a cross-domain cluster matching strategy based on ant movement is followed next to match the target domain clusters to the source domain land-cover classes. Experiments suggest good matching capabilities of the proposed technique.