Class-aware edge-assisted lightweight semantic segmentation network for power transmission line inspection
Author:
Funder
National Natural Science Foundation of China
Key Research and Development Plan of Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03932-3.pdf
Reference52 articles.
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2. Yu B, Yang L, Chen F (2018) Semantic segmentation for high spatial resolution remote sensing images based on convolution neural network and pyramid pooling module. IEEE J Sel Top Appl Earth Obs Remote Sens 11(9):3252–3261. https://doi.org/10.1109/JSTARS.2018.2860989
3. Niu W, Ning B, Zhou H (2019) Design of data transmission system of human-autonomous devices for UAV inspection of transmission line status. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-019-01504-x
4. Chen W, Li Y, Zhao Z (2021) InsulatorGAN: A transmission line insulator detection model using multi-granularity conditional generative adversarial nets for UAV inspection. Remote Sens 13(19):3971. https://doi.org/10.3390/rs13193971
5. Wu Y, Zhao G, Hu J, Ouyang Y, Wang SX, He J, Gao F, Wang S (2019) Overhead transmission line parameter reconstruction for UAV inspection based on tunneling magnetoresistive sensors and inverse models. IEEE Trans Power Deliv 34(3):819–827. https://doi.org/10.1109/tpwrd.2019.2891119
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