Back to Search
Start Over
A Semantic Segmentation Method for Dam Leakage Detection Based on FCN
A Semantic Segmentation Method for Dam Leakage Detection Based on FCN
- 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