A Review of Techniques for Extracting Linear Features from Imagery

The automated extraction of linear features from remotely sensed imagery has been the subject of extensive research over several decades. Recent studies show promise for extraction of feature information for applications such as updating geographic information systems (GIS). Research has been stimulated by the increase in available imagery in recent years following the launch of several airborne and satellite sensors. However, while the expansion in the range and availability of image data provides new possibilities for deriving image related products, it also places new demands on image processing. Efficiently dealing with the vast amount of available data necessitates an increase in automation, while still taking advantage of the skills of a human operator. This paper provides an overview of the types of imagery being used for linear feature extraction. The paper also describes methods used for feature extraction and considers quantitative and qualitative accuracy assessment of these procedures.