4   Artículos

 
en línea
Janine Florath, Jocelyn Chanussot and Sina Keller    
Natural hazards can present a significant risk to road infrastructure. This infrastructure is a fundamental component of the transportation infrastructure, with significant importance. During emergencies, society heavily relies on the functionality of th... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Huan Ni, Jocelyn Chanussot, Xiaonan Niu, Hong Tang and Haiyan Guan    
The large-scale variation issue in high-resolution aerial images significantly lowers the accuracy of segmenting small objects. For a deep-learning-based semantic segmentation model, the main reason is that the deeper layers generate high-level semantics... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Giorgio Licciardi, Costantino Del Gaudio and Jocelyn Chanussot    
Hyperspectral analysis is a well-established technique that can be suitably implemented in several application fields, including materials science. This approach allows us to deal with data samples containing spatial and spectral information at very high... ver más
Revista: Applied Sciences    Formato: Electrónico

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