Multi-class target recognition based on adaptive feature selection

In this paper, a new approach of multi-class target recognition is proposed for remote sensing image analysis. A multi-class feature model is built, which is based on sharing features among classes. In order to make the recognition process efficient, we adopted the idea of adaptive feature selection. In each layer of the integrated feature model, the most salient and stable feature are selected first, and then the less ones. Experiments demonstrated the approach proposed is efficient in computation and is adaptive to scene variation.