Application of deep learning in high-resolution remote sensing image classification

Xiaokui Xie; Yichao Tian; Zhaomin Zhu

doi:10.1117/12.2634547

4 May 2022 Application of deep learning in high-resolution remote sensing image classification

Xiaokui Xie, Yichao Tian, Zhaomin Zhu

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 121722A (2022) https://doi.org/10.1117/12.2634547
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

In this paper, we compared various deep learning methods in application of high-resolution remote sensing image classification. The accuracy rate of similarity in top 5 was more than 85% based on our database with the algorithms of VGG, ResNet, Inception, InceptionResNet, Xception, DenseNet and MobileNet. Among the seven models tested, Xception model achieves the highest model accuracy, the smallest training shock and the least training time.

Citation Download Citation

Xiaokui Xie, Yichao Tian, and Zhaomin Zhu "Application of deep learning in high-resolution remote sensing image classification", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 121722A (4 May 2022); https://doi.org/10.1117/12.2634547

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