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A Semantic Segmentation Method for Dam Leakage Detection Based on FCN

A Semantic Segmentation Method for Dam Leakage Detection Based on FCN

Authors :
Zhaohui Yan
Xinlong Ma
Jun Zhang
Xingguo Cai
Source :
IOP Conference Series: Earth and Environmental Science. 571:012073
Publication Year :
2020
Publisher :
IOP Publishing, 2020.

Abstract

Leakage is an important factor affecting the safety of the dam. In the past, manual inspection is a significant way to monitor leakage risk. However, it is time-consuming, inefficient and difficult to quantitative evaluate such as the leakage area. A semantic segmentation method based on the fully convolutional network is proposed to replace the manual inspection for the dam leakage automatic detection. Thirty-eight high-resolution images of dam leakage are collected. FCN-8s and VGG16 backbone are adopted. The results indicated that the FCN-8s achieves the mIoU to 0.59 on the test set, which proves to be an efficient way to detect the dam leakage.

Details

ISSN :
17551315 and 17551307
Volume :
571
Database :
OpenAIRE
Journal :
IOP Conference Series: Earth and Environmental Science
Accession number :
edsair.doi...........467cdb989fb4a3369910de7e5027cd8c
Full Text :
https://doi.org/10.1088/1755-1315/571/1/012073