skinsbad.blogg.se

For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Research articles, review articles as well as short communications are invited. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. All submissions that pass pre-check are peer-reviewed. Manuscripts can be submitted until the deadline.

Once you are registered, click here to go to the submission form. Manuscripts should be submitted online at by registering and logging in to this website. Fusion of aerial imagery, satellite imagery, UAV imagery, terrestrial imagery.Dynamic, semantic, and functional 3D reconstructions or maps and.3D reconstruction of buildings or urban areas from 3D data.Methods for stereo image matching and multi-view image matching of aerial and satellite imagery.In this context, this Special Issue aims to cover recent progress in areas related to 3D reconstruction based on aerial and satellite imagery. This might allow for dynamic 3D reconstructions or even functional 3D reconstructions on the scale of whole urban areas. In addition, deep learning methods also allow the fostering of new techniques for reconstructing environments like urban areas and buildings from 3D data created by image matching. Multi-view stereo methods developed for close-range photogrammetry will also be applicable to aerial and satellite imagery. Deep learning methods can be used to improve the underlying fundamental techniques of stereo image matching. The recent advent of deep learning also brought new possibilities of improvements to the field of 3D reconstruction from aerial and satellite imagery. Keeping all these maps up-to-date is a perpetual process, and this process will benefit from innovations in 3D reconstruction techniques.

3D map services are now used by any individual and not only by experts. 3D reconstructions based on Aerial and Satellite Imagery are the basis for invaluable map services available to anybody.