Extreme Learning Machine-Guided Collaborative Coding for Remote Sensing Image Classification

Remote sensing image classification is a very challenging problem and covariance descriptor can be introduced in the feature extraction process for remote sensing image. However, covariance descriptor lies in non-Euclidean manifold, and conventional extreme learning machine (ELM) cannot effectively deal with this problem. In this paper, we propose an improved ELM framework incorporating the collaborative coding to tackle the covariance descriptor classification problem. First, a new ELM-guided dictionary learning and coding model is proposed to represent the covariance descriptor. Then the iterative optimization algorithm is developed to solve the model. By evaluating the proposed approach on the public dataset, we show the effectiveness of the proposed strategy.