|
|
|
|
|
Ogbaje Andrew, Armando Apan, Dev Raj Paudyal and Kithsiri Perera
The accuracy of most SAR-based flood classification and segmentation derived from semi-automated algorithms is often limited due to complicated radar backscatter. However, deep learning techniques, now widely applied in image classifications, have demons...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ermioni-Eirini Papadopoulou, Christos Vasilakos, Nikolaos Zouros and Nikolaos Soulakellis
Geosites are an important part of geoheritage, thus their detailed mapping is crucial for their management, protection and promotion processes. However, there is no specific approach to three-dimensional (3D) mapping of geosites and a full investigation ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Radek Barvir, Alena Vondrakova and Jan Brus
Despite the growing efficiency of the map-design process in general, tactile mapping has remained peripheral to mainstream cartography. For a specific group of people with visual impairment, however, tactile maps are the only effective way to obtain a co...
ver más
|
|
|
|
|
|
|
|
|
|
|
Daniel Hölbling, Clemens Eisank, Florian Albrecht, Filippo Vecchiotti, Barbara Friedl, Elisabeth Weinke and Arben Kociu
Object-based image analysis (OBIA) has been increasingly used to map geohazards such as landslides on optical satellite images. OBIA shows various advantages over traditional image analysis methods due to its potential for considering various properties ...
ver más
|
|
|
|
|
|