SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes
Undetected defects in culverts and sewerpipes pose significant risks to public safety, including infrastructure collapses, flooding, and transportation disruptions. Manual inspections are time-consuming, costly, and prone to human error, while existing automated methods often struggle with real-worl...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11081462/ |
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