Research on Remote Sensing Image Classification Algorithm Based on EfficientNet

Hang Yin, Chengyi Yang, Jiayi Lu

20222022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)12 citationsDOI

Abstract

Accurate classification of remote sensing images is important in remote sensing applications. In order to verify the efficiency and accuracy of efficientnet algorithm in remote sensing image classification, this paper classifies the UCMerced LandUse dataset based on EfficientNet. The experimental results show that compared with VGGNet, ResNet and MobileNet, the EfficientNet network introduces composite parameters and scales depth, width and resolution at the same time. The accuracy of EfficientV2-s in the verification set is 16.5%, 5.2%, 1.8% and 1.7% higher than that of VGG, MobileNetV2, ResNet34 and EfficientNet-b0, which shows the efficiency and accuracy of EfficientNet network in remote sensing image classification data set.

Topics & Concepts

Computer scienceRemote sensingContextual image classificationSet (abstract data type)Image (mathematics)Residual neural networkData setImage resolutionResolution (logic)Artificial intelligenceData miningArtificial neural networkGeologyProgramming languageAdvanced Neural Network ApplicationsRemote Sensing and LiDAR ApplicationsSmart Agriculture and AI