Road detection from remote sensing images, being a fundamental but challenging problem in the field of aerial and satellite image analysis, plays an important role for a wide range of applications and is receiving considerable attention in these recent years. While huge methods exist, a deep review of the literature concerning basic object detection is still lacking. This paper aims to provide a review of the recent progress in this field. Different from several previously published surveys that focus on a specific object class such as building and road, we concentrate on more generic object categories including, but are not limited to, road, building, tree, vehicle, ship, airport, urban-area. Covering many publications, we survey various road extraction techniques and compare different methods and results used to detect road network. The existing methods are compared and contrasted based on qualitative and qualitative parameters viz., purpose of the work, algorithms adopted and results obtained.
Impact Factor
2022: 6.012
This work is licensed under a