An efficient and reliable automated model that can map physical Soil and Water
Conservation (SWC) structures on cultivated land was developed using very high spatial …

Detection of roads in urban areas is of greater importance and is a persistent research focus
in the remote sensing community. The spectral and geometrical varieties of road pixels; their …

The Road extraction from the remotely sensed imagery is highly realistic for the quick road
updating in the Geographic Information System (GIS) data collection. The particle filter (PF) …

Automatic road detection, in dense urban areas, is a challenging application in the remote
sensing community. This is mainly because of physical and geometrical variations of road …

It is an economic and safe way to train novice drivers by means of a simulator as a critical
infrastructure where road scenes shall be modeled as a part of virtually to replace the actual …

Today large volumes of data are provided by the Remote sensing systems. Extraction of
road from these images provides variety of applications such as map implementation, road …

With the advancement of modern technology, imaging has become a significant inventory
with a great range of applications throughout medical science, biological research and …

Road extraction can be defined as extracting the roads from an image by accessing it
through the features of road. Road information can be extracted from images in three ways …

The Road extraction from the remotely sensed imagery is highly realistic for the quick road
updating in the Geographic Information System (GIS) data collection. The particle Żlter (PF) …

Automatic classification of satellite images to detect the presence of urban/forested/deserted
features of the areas on earth plays a most crucial part in the field of remote sensing. This …