most citedThermographic Laplacian-pyramid filtering to enhance delamination detection in concrete structure

28 citations · 52 across the 5 of their papers we have counts for

collaborators

7 papers

eess.IV201923 cited

Bridge Deck Delamination Segmentation Based on Aerial Thermography Through Regularized Grayscale Morphological Reconstruction and Gradient Statistics

Chongsheng Cheng, Zhexiong Shang, Zhigang Shen

Environmental and surface texture-induced temperature variation across the bridge deck is a major source of errors in delamination detection through thermography. This type of exte…

eess.IV201928 cited

Thermographic Laplacian-pyramid filtering to enhance delamination detection in concrete structure

Chongsheng Cheng, Ri Na, Zhigang Shen

Despite decades of efforts using thermography to detect delamination in concrete decks, challenges still exist in removing environmental noise from thermal images. The performance…

eess.IV20191 cited

Enhancing Bridge Deck Delamination Detection Based on Aerial Thermography Through Grayscale Morphologic Reconstruction: A Case Study

Chongsheng Cheng, Zhexiong Shang, Zhigang Shen

Environmental-induced temperature variations across the bridge deck were one of the major factors that degraded the performance of delamination detection through thermography. The…

eess.IV2019

CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography

Chongsheng Cheng, Zhexiong Shang, Zhigang Shen

Delamination assessment of the bridge deck plays a vital role for bridge health monitoring. Thermography as one of the nondestructive technologies for delamination detection has th…

cs.CV2019

A Data Fusion Platform for Supporting Bridge Deck Condition Monitoring by Merging Aerial and Ground Inspection Imagery

Zhexiong Shang, Chongsheng Cheng, Zhigang Shen

UAVs showed great efficiency on scanning bridge decks surface by taking a single shot or through stitching a couple of overlaid still images. If potential surface deficits are iden…

eess.IV2018

Detecting Concrete Abnormality Using Time-series Thermal Imaging and Supervised Learning

Chongsheng Cheng, Zhigang Shen

Nondestructive detecting defects (NDD) in concrete structures have been explored for decades. Although limited successes were reported, major limitations still exist. The major lim…