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Detecting surface defects of heritage buildings based on deep learning
X Fu, N Angkawisittpan - Journal of Intelligent Systems, 2024 - degruyter.com
The present study examined the usage of deep convolutional neural networks (DCNNs) for
the classification, segmentation, and detection of the images of surface defects in heritage …
the classification, segmentation, and detection of the images of surface defects in heritage …
[HTML][HTML] Flight path setting and data quality assessments for unmanned-aerial-vehicle-based photogrammetric bridge deck documentation
Imagery from Unmanned Aerial Vehicles can be used to generate three-dimensional (3D)
point cloud models. However, final data quality is impacted by the flight altitude, camera …
point cloud models. However, final data quality is impacted by the flight altitude, camera …