Add to ORKGThe paper describes an efficient workflow wherein UAV photogrammetry is combined with other 3D survey techniques (terrestrial photogrammetry, laser scanning and total station) to provide comprehensive documentation of a historical building. The output orthoimage of the tiled roof allowed high-lighting the covering damage state. The research aims to test and evaluate the feasibility of automatically mapping roof damage using an image classification procedure based on supervised machine learning. The methodology was validated on a historical building, now suffering from a serious state of neglect
The paper presents a new data-driven approach to generate CityGML building models from airborne lase...
This paper examines the survey of tall buildings in an emergency context like in the case of post-se...
This paper examines the survey of tall buildings in an emergency context like in the case of post-se...
The paper describes an efficient workflow wherein UAV photogrammetry is combined with other 3D surve...
The paper describes an efficient workflow wherein UAV photogrammetry is combined with other 3D surve...
The paper describes an efficient workflow wherein UAV photogrammetry is combined with other 3D surve...
The paper describes an efficient workflow wherein UAV photogrammetry is combined with other 3D surve...
The paper presents a fast methodology to quantify the damage to the roof in historic buildings, sugg...
The paper presents a fast methodology to quantify the damage to the roof in historic buildings, sugg...
The paper presents a fast methodology to quantify the damage to the roof in historic buildings, sugg...
<p></p><p>Abstract The aim of this study was to apply a methodology for automatic generation of maps...
ABSTRACT: The mapping of natural hazards and disaster damages in urban areas is of high importance f...
The timely and efficient generation of detailed damage maps is of fundamental importance following d...
The timely and efficient generation of detailed damage maps is of fundamental importance following d...
The timely and efficient generation of detailed damage maps is of fundamental importance following d...
The paper presents a new data-driven approach to generate CityGML building models from airborne lase...
This paper examines the survey of tall buildings in an emergency context like in the case of post-se...
This paper examines the survey of tall buildings in an emergency context like in the case of post-se...
The paper describes an efficient workflow wherein UAV photogrammetry is combined with other 3D surve...
The paper describes an efficient workflow wherein UAV photogrammetry is combined with other 3D surve...
The paper describes an efficient workflow wherein UAV photogrammetry is combined with other 3D surve...
The paper describes an efficient workflow wherein UAV photogrammetry is combined with other 3D surve...
The paper presents a fast methodology to quantify the damage to the roof in historic buildings, sugg...
The paper presents a fast methodology to quantify the damage to the roof in historic buildings, sugg...
The paper presents a fast methodology to quantify the damage to the roof in historic buildings, sugg...
<p></p><p>Abstract The aim of this study was to apply a methodology for automatic generation of maps...
ABSTRACT: The mapping of natural hazards and disaster damages in urban areas is of high importance f...
The timely and efficient generation of detailed damage maps is of fundamental importance following d...
The timely and efficient generation of detailed damage maps is of fundamental importance following d...
The timely and efficient generation of detailed damage maps is of fundamental importance following d...
The paper presents a new data-driven approach to generate CityGML building models from airborne lase...
This paper examines the survey of tall buildings in an emergency context like in the case of post-se...
This paper examines the survey of tall buildings in an emergency context like in the case of post-se...