 The research focuses on developing a deep neural network called MSNet for semantic segmentation of multiclassified feature scenes in remote sensing images, which utilizes the advantages of multispectral data to distinguish typical features and achieves competitive performance. This article was authored by Chongxin Dao, Yixuan Meng, Junjie Li, and others.