Author(s)

Lei Zhang ¹, Shiyu Fang ¹, Daijin Li ¹, Xiangrong Xue ¹, Xinlei Wu ¹, Hao Wu ¹

Affiliation(s)

¹ School of Management Science and Engineering, Anhui University of Finance & Economics, Bengbu, Anhui, 233030, China

Corresponding Author

Hao Wu

ABSTRACT

In recent years, with the rapid development of unmanned aerial vehicle (UAV) technology, UAV processing visual information, especially image semantic segmentation technology, has developed rapidly. This paper proposes a semantic segmentation model, which has achieved high accuracy on CityScapes data set, and has been verified on the newly collected data set, and the verification results are in line with the actual situation.

KEYWORDS

Deep learning, Image semantic segmentation, Convolution neural network, UAV vision

CITE THIS PAPER

Lei Zhang, Shiyu Fang, Daijin Li, Xiangrong Xue, Xinlei Wu, Hao Wu, Research on semantic segmentation of unmanned aerial vehicle visual image based on deep learning—take the outdoor environment of Anhui University of Finance & Economics as an example. Journal of Artificial Intelligence Practice (2023) Vol. 6: 26-33. DOI: http://dx.doi.org/10.23977/jaip.2023.060104.

REFERENCES

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