Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Yinan Wang, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Tohru Harano, Masahiko Ito, Katsura Komagome, Makoto Iida, Takeshi Naemura. Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone. IPSJ Trans. Computer Vision and Applications, 11:3, 2019. [doi]

The following publications are possibly variants of this publication:

Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken ImagesLong Wang, Zijun Zhang. tie, 64(9):7293-7303, 2017. [doi]

Automatic image detection of multi-type surface defects on wind turbine blades based on cascade deep learning networkYulin Mao, Shuangxin Wang, Dingli Yu, Juchao Zhao. ida, 25(2):463-482, 2021. [doi]

runs on WebDSL