Study for ELM-based recognition of fold structure aiming at remote sensing image

The recognition and classification of the remote sensing image is a key technology in the application of remote sensing image, which has been one of the research hotspots. Extreme learning machine (EML), is a kind of machine learning method, which has advantages of fast learning speed and good generalization capability, and has been getting more and more attention from the researchers. Based on the two research hotspots, in this paper, a method for recognition of fold structure information in the remote sensing image based on ELM is proposed. Through the comparison of results obtained by this method and artificial interpretation, it shows that the method has good accuracy and strong applicability, and also, has important theoretical basis and practical application value in guiding the planning and construction and operation maintenance of special regional highway.