Unmanned Aerial Vehicles (UAVs) have emerged as a rapid, low-cost and flexible
acquisition system that appears feasible for application in cadastral mapping: high …

The paper focuses mainly on extraction of important topographic objects, like buildings and
roads, that have received much attention the last decade. As main input data, aerial imagery …

The extraction of road networks from digital imagery is a fundamental image analysis
operation. Common problems encountered in automated road extraction include high …

The extraction of road networks from aerial images is one of the current challenges in digital
photogrammetry and computer vision. In this paper, we present a practical system for 3-D …

In order to exploit remote sensing data operationally for precision agriculture applications,
efficient and automated methods are required for the accurate detection of vegetation, crops …

Novel approaches to extract curvilinear structures, ie, lines and edges, from 2D images are
proposed. For lines, explicit geometric models for line profiles are used to analyze their …

The update frequency of digital road maps influences the quality of road-dependent
services. However, digital road maps surveyed by probe vehicles or extracted from remotely …

Currently, methods of extracting spatial information from satellite images are mainly based
on visual interpretations and drawing the consequences by human factor, which is both …

In this paper the approach for automatic road extraction for an urban region using structural,
spectral and geometric characteristics of roads has been presented. Roads have been …

While forest roads are important to forest managers in terms of facilitating the exploitation of
wood and timber, their role is far more multifunctional. They permit access to emergency …