Tiangong remote sensing natural scene intelligent recognition and interpretablity analysis

Kun Liu; Jianglong Li; Guofeng Xu; Peng Wang

doi:10.1117/12.2671376

16 March 2023 Tiangong remote sensing natural scene intelligent recognition and interpretablity analysis

Kun Liu, Jianglong Li, Guofeng Xu, Peng Wang

Author Affiliations +

Proceedings Volume 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022); 125930H (2023) https://doi.org/10.1117/12.2671376
Event: 2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 2022, Guangzhou, China

Abstract

This paper focuses on the intelligent recognition of images in the Tiangong remote sensing image dataset and its interpretability analysis. In this paper, we classified the aforementioned dataset, retrained the Resnet-18 model on the training set, and then verified the results on the validation set with an accuracy of 97.9%. Furthermore, this paper presented an interpretability analysis of deep learning for intelligent recognition of the Tiangong remote sensing image dataset.

Citation Download Citation

Kun Liu, Jianglong Li, Guofeng Xu, and Peng Wang "Tiangong remote sensing natural scene intelligent recognition and interpretablity analysis", Proc. SPIE 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 125930H (16 March 2023); https://doi.org/10.1117/12.2671376

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