Satellite remote sensing technology is a very important geo-spatial monitoring technology. After being processed, the satellite remote sensing images have a large amount of data characteristics of various complex data types, the traditional target classification and recognition ways spend a lot of manpower and material resources. In order to reduce the workload and provide convenience for subsequent processing, we consider using deep learning algorithms for satellite images classification and recognition. In this paper, we designed an image recognition and classification method based on VGGNet. We augmentated data by using haze removal algorithm and other tricks. And we added ridge regression to use correlations between labels to predict. Verified by experiment comparison, this method can achieve more than 90% of F2 score. Finally, an online recognition, classification and display system based on Django is built by using this method.