@article{Pellis_2022,<br/><span class="tab"></span> title={AN IMAGE-BASED DEEP LEARNING WORKFLOW FOR 3D HERITAGE POINT CLOUD SEMANTIC SEGMENTATION},<br/><span class="tab"></span> volume={XLVI-2/W1-2022},<br/><span class="tab"></span> ISSN={2194-9034},<br/><span class="tab"></span> url={http://dx.doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-429-2022},<br/><span class="tab"></span> DOI={10.5194/isprs-archives-xlvi-2-w1-2022-429-2022},<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={Pellis,<br/><span class="tab"></span> E. and Murtiyoso,<br/><span class="tab"></span> A. and Masiero,<br/><span class="tab"></span> A. and Tucci,<br/><span class="tab"></span> G. and Betti,<br/><span class="tab"></span> M. and Grussenmeyer,<br/><span class="tab"></span> P.},<br/><span class="tab"></span> year={2022},<br/><span class="tab"></span> month=feb,<br/><span class="tab"></span> pages={429–434} }