@article{Panella_2018,<br/><span class="tab"></span> title={DEEP LEARNING AND IMAGE PROCESSING FOR AUTOMATED CRACK DETECTION AND DEFECT MEASUREMENT IN UNDERGROUND STRUCTURES},<br/><span class="tab"></span> volume={XLII–2},<br/><span class="tab"></span> ISSN={2194-9034},<br/><span class="tab"></span> url={http://dx.doi.org/10.5194/isprs-archives-xlii-2-829-2018},<br/><span class="tab"></span> DOI={10.5194/isprs-archives-xlii-2-829-2018},<br/><span class="tab"></span> journal={The International Archives of the Photogrammetry,<br/><span class="tab"></span> Remote Sensing and Spatial Information Sciences},<br/><span class="tab"></span> publisher={Copernicus GmbH},<br/><span class="tab"></span> author={Panella,<br/><span class="tab"></span> F. and Boehm,<br/><span class="tab"></span> J. and Loo,<br/><span class="tab"></span> Y. and Kaushik,<br/><span class="tab"></span> A. and Gonzalez,<br/><span class="tab"></span> D.},<br/><span class="tab"></span> year={2018},<br/><span class="tab"></span> month=may,<br/><span class="tab"></span> pages={829–835} }