This paper surveys the state of the art on automatic road extraction for GIS update from
aerial and satellite imagery. It presents a bibliography of nearly 250 references related to …

This paper surveys the state-of-the-art automatic object extraction techniques from aerial
imagery. It focuses on building extraction approaches, which present the majority of the work …

We propose a new approach for automatic road extraction from aerial imagery with a model
and a strategy mainly based on the multi-scale detection of roads in combination with …

In this paper, we present work on automatic road extraction from high-resolution aerial
imagery taken over urban areas. In order to deal with the high complexity of this type of …

In this work we present a novel vision-based system for automatic detection and extraction of
complex road networks from various sensor resources such as aerial photographs, satellite …

Maps contain abundant geospatial information, such as roads, settlements, and river
networks, to name a few. The need to access this information to carry out analyses (eg, in …

This paper deals with the limitations of visual interpretation of high-resolution remote
sensing images and of automatic computer classification completely dependent on spectral …

Automatic extraction of geospatial features has been the subject of extensive research in the
past three decades. Here, an approach based on fuzzy logic and mathematical morphology …

This paper describes a semi-automatic algorithm for tracking road centerlines from satellite
images at 1 m resolution. We assume that road centerlines are visible in the image and that …

A typical way to update map road layers is to compare recent aerial images with existing
map data, detect new roads and add them as cartographic entities to the road layer. This …