Original paper

Deep super resolution crack network (SrcNet) for improving computer vision–based automated crack detectability in in situ bridges

Volume: 20, Issue: 4, Pages: 1428 - 1442
Published: May 29, 2020
Abstract
This article proposes a new end-to-end deep super-resolution crack network (SrcNet) for improving computer vision–based automated crack detectability. The digital images acquired from large-scale civil infrastructures for crack detection using unmanned robots often suffer from motion blur and lack of pixel resolution, which may degrade the corresponding crack detectability. The proposed SrcNet is able to significantly enhance the crack...
Paper Details
Title
Deep super resolution crack network (SrcNet) for improving computer vision–based automated crack detectability in in situ bridges
Published Date
May 29, 2020
Volume
20
Issue
4
Pages
1428 - 1442
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