Multispectral aerial imagery-based 3D digitisation, segmentation and annotation of large scale urban areas of significant cultural value

Author:

Koutsoudis AnestisORCID,Ioannakis George,Pistofidis Petros,Arnaoutoglou FotisORCID,Kazakis Nikolaos,Pavlidis GeorgeORCID,Chamzas Chistodoulos,Tsirliganis Nestor

Publisher

Elsevier BV

Subject

Chemistry (miscellaneous),Conservation,Archaeology,Spectroscopy,Materials Science (miscellaneous),General Economics, Econometrics and Finance

Reference19 articles.

1. Urban land cover classification using airborne lidar data: A review;Yan;Remote Sensing of Environment,2015

2. Increasing land classification accuracy using unmanned aerial vehicles (uavs) with multispectral lidar sensor;Popescu;Scientific Papers. Serie E. Land Reclamation Series, Earth Observation & Surveying, Environmental Engineering,2017

3. Mapping heterogeneous urban landscapes from the fusion of digital surface model and unmanned aerial vehicle-based images using adaptive multiscale image segmentation and classification;A.Gibril;Remote Sensing,2020

4. Detection of asphalt pavement potholes and cracks based on the unmanned aerial vehicle multispectral imagery;Pan;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018

5. Relevance of airborne lidar and multispectral image data for urban scene classification using random forests;Guo;ISPRS Journal of Photogrammetry and Remote Sensing,2011

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