An aerial image data cleaning of power lines with multi-information fusion perception

Yanjun Fan, Qian Yang, Yangming Guo, Lujuan Jiang, Jiang Long, Zhuqing Wang, Guo Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Recently, unmanned aerial vehicles (UAVs) have been used to conduct the task of power line inspection. Unfortunately, most of the images acquired by UAVs are invalid for visual inspection. The main reason is that the collected images are low quality and repetitive. To obtain a set of valid images with high quality, a novel multi-information fusion perception (MIFP) model is proposed to automatically clean the large-scale aerial image data. Firstly, the image quality features and image content features are extracted, in which the weights of different features are used to evaluate the effect on the final image quality. Secondly, the image spatial features are exploited to aggregate spatial information in weight maps of different sizes. Then, the image quality and content features are merged into the multi-information features that characterize the quality of the final image. As a result, the image is picked out according to the quality score. Finally, experimental results show that the proposed multi information fusion perception model has excellent performance on real databases.

源语言英语
主期刊名Third International Conference on Computer Science and Communication Technology, ICCSCT 2022
编辑Yingfa Lu, Changbo Cheng
出版商SPIE
ISBN(电子版)9781510661240
DOI
出版状态已出版 - 2022
活动3rd International Conference on Computer Science and Communication Technology, ICCSCT 2022 - Beijing, 中国
期限: 30 7月 202231 7月 2022

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
12506
ISSN(印刷版)0277-786X
ISSN(电子版)1996-756X

会议

会议3rd International Conference on Computer Science and Communication Technology, ICCSCT 2022
国家/地区中国
Beijing
时期30/07/2231/07/22

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