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BridgeDex: Proposed Web GIS Platform for Managing and Interrogating Multiyear and Multiscale Bridge-Inspection Images

CITE Title : BridgeDex: Proposed Web GIS Platform for Managing and Interrogating Multiyear and Multiscale Bridge-Inspection Images Personal Author(s) : Javadnejad, Farid;Gillins, Daniel T.;Higgins, Christopher C.;Gillins, Matthew N.; Published Date : 2017 Source : Journal of Computing in Civil Engineering, 31(6) DOI : https://doi.org/10.1061/(ASCE)CP.1943-5487.0000710 Journal Title : Journal of Computing in Civil Engineering Javadnejad, Farid et al. (2017). BridgeDex: Proposed Web GIS Platform for Managing and Interrogating Multiyear and Multiscale Bridge-Inspection Images. 31(6). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000710 Javadnejad, Farid et al. "BridgeDex: Proposed Web GIS Platform for Managing and Interrogating Multiyear and Multiscale Bridge-Inspection Images" 31, no. 6 (2017), https://doi.org/10.1061/(ASCE)CP.1943-5487.0000710 Javadnejad, Farid et al. "BridgeDex: Proposed Web GIS Platform for Managing and Interrogating Multiyear and Multiscale Bridge-Inspection Images" vol. 31, no. 6, 2017, https://doi.org/10.1061/(ASCE)CP.1943-5487.0000710 Export RIS Citation Information.

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Javadnejad, Farid

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Gillins, Daniel T.

2017 | Journal of Computing in Civil Engineering, 31(6)

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Current bridge inspectors commonly collect high-definition digital photographs of bridge members and connections at different scales when performing i...
A photogrammetric approach to fusing natural colour and thermal infrared UAS imagery in 3D point cloud generation

CITE Title : A photogrammetric approach to fusing natural colour and thermal infrared UAS imagery in 3D point cloud generation Personal Author(s) : Javadnejad, Farid;Gillins, Daniel T.;Parrish, Christopher E.;Slocum, Richard K.; Published Date : 2019 Source : International Journal of Remote Sensing, 41(1), 211-237 DOI : https://doi.org/10.1080/01431161.2019.1641241 Journal Title : International Journal of Remote Sensing Javadnejad, Farid et al. (2019). A photogrammetric approach to fusing natural colour and thermal infrared UAS imagery in 3D point cloud generation. 41(1). https://doi.org/10.1080/01431161.2019.1641241 Javadnejad, Farid et al. "A photogrammetric approach to fusing natural colour and thermal infrared UAS imagery in 3D point cloud generation" 41, no. 1 (2019), https://doi.org/10.1080/01431161.2019.1641241 Javadnejad, Farid et al. "A photogrammetric approach to fusing natural colour and thermal infrared UAS imagery in 3D point cloud generation" vol. 41, no. 1, 2019, https://doi.org/10.1080/01431161.2019.1641241 Export RIS Citation Information.

:

Javadnejad, Farid

;

Gillins, Daniel T.

2019 | International Journal of Remote Sensing, 41(1), 211-237

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The inclusion of thermal infrared (TIR) data in point clouds derived from unmanned aircraft system (UAS) imagery can benefit a variety of applications...
Dense Point Cloud Quality Factor as Proxy for Accuracy Assessment of Image-Based 3D Reconstruction

CITE Title : Dense Point Cloud Quality Factor as Proxy for Accuracy Assessment of Image-Based 3D Reconstruction Personal Author(s) : Javadnejad, Farid;Slocum, Richard K.;Gillins, Daniel T.;Olsen, Michael J.;Parrish, Christopher E.; Published Date : 2021 Source : Journal of Surveying Engineering, 147(1) DOI : https://doi.org/10.1061/(ASCE)SU.1943-5428.0000333 Journal Title : Journal of Surveying Engineering Javadnejad, Farid et al. (2021). Dense Point Cloud Quality Factor as Proxy for Accuracy Assessment of Image-Based 3D Reconstruction. 147(1). https://doi.org/10.1061/(ASCE)SU.1943-5428.0000333 Javadnejad, Farid et al. "Dense Point Cloud Quality Factor as Proxy for Accuracy Assessment of Image-Based 3D Reconstruction" 147, no. 1 (2021), https://doi.org/10.1061/(ASCE)SU.1943-5428.0000333 Javadnejad, Farid et al. "Dense Point Cloud Quality Factor as Proxy for Accuracy Assessment of Image-Based 3D Reconstruction" vol. 147, no. 1, 2021, https://doi.org/10.1061/(ASCE)SU.1943-5428.0000333 Export RIS Citation Information.

:

Javadnejad, Farid

;

Slocum, Richard K.

2021 | Journal of Surveying Engineering, 147(1)

:

Photogrammetry using structure from motion (SfM) and multiview stereopsis (MVS) techniques can recover three-dimensional (3D) structure from a set of ...