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Aerial view of College from the North West
(2009-01-23)
Aerial view of college showing several buildings including: New biology building, Frank Stockdale building and the experimental sugar factory.
Detecção automática de sombras em imagens aéreas e terrestres
(2017-01-01)
Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object ...
3D ROAD EXTRACTION USING A STEREO PAIR OF AERIAL IMAGES
(Copernicus Gesellschaft Mbh, 2010-01-01)
Road extraction from aerial and satellite imagery is of fundamental importance in the context of spatial data capturing and updating for GIS (Geographic Information System) applications. This article proposes a semiautomatic ...
3D Road extraction using a stereo pair of aerial images
(2010-01-01)
Road extraction from aerial and satellite imagery is of fundamental importance in the context of spatial data capturing and updating for GIS (Geographic Information System) applications. This article proposes a semiautomatic ...
Automatic shadow segmentation in aerial color images
(2003-01-01)
A robust and efficient technique to segment shaded areas in aerial color images is presented here. This technique is based on the physical phenomenon of atmospheric dispersion of the sunlight most well known as the Rayleigh ...
View of Port of Spain
(Davidson and Todd Ltd., Trinidad, 2010-06-15)
This postcard offers an aerial view of the city of Port of Spain in Trinidad.
Shipping pitch, Trinidad
(2010-02-03)
Photo of an aerial tramway over land and transporting barrels of pitch.
View from the Sugar factory chimney looking towards the north
(2009-01-26)
Aerial view of buildings on campus from the Sugar factory.
Urban road classification in geometrically integrated high-resolution RGB aerial and laser-derived images using the artificial neural network classification method
(2018-05-05)
The problem of automated urban road network extraction is extremely complex because roads in urban scenes strongly interact with other objects. This problem can be simplified if road regions are first isolated using a ...