Scene Classification Method of Remote Sensing Image Based on Multi—scale Feature Fusion
Aiming at the problems such as high inter-class similarity,large intra-class diversi-ty,and large difference of remote sensing images at different scales,which lead to the limited accuracy of scene classification tasks,a multi-scale feature fusion based remote sensing image scene classifica-tion algorithm is proposed.Firstly,MobileNetV2,a lightweight network,is used as the backbone net-work to achieve higher classification accuracy with fewer network parameters.The network improves the input channel through one-dimensional convolution.The multi-scale feature fusion module de-signed in this paper can capture the high-level features and low-level features of remote sensing ima-ges,and the fusion of multi-scale features of remote sensing images can alleviate effectively the prob-lem of large differences in remote sensing images at different scales.The effectiveness of the proposed method is verified by experiments on three open remote sensing datasets.
remote sensing image scene classificationmulti-scale feature fusionfeature fusiondeep learning
万方数据
维普
