Feature extraction is the most cost-effective way of generating a vector representation of raster data and can be used for several applications, such as change detection and property ownership
Digitizing features is essential to the process of acquiring valid GIS data and the creation of accurate topographic maps. Bureau Stephan utilizes semiautomatic digitizing methods based on stereo imagery that significantly reduce the time spent on mapping objects. By minimizing any dependency on visual interpretation this method is cost-effective, fast and consistent.
By applying state-of-the-art technology Bureau Stephan extracts features from metric and non-metric aerial photos, satellite imagery, LIDAR data and/or topographic maps.
Features which can be mapped include:
- Vegetation and forests
- Agricultural units
- Building footprints
- Marine objects
- Any other visible objects
Feature extraction is the most cost-effective way of generating a vector representation of raster data (aerial imagery, satellite, etc). The result of the feature extraction process are vector files in popular formats (ESRI, MapInfo etc.), thus ready for use in GIS systems.
Semiautomatic feature extraction can be used for several applications, e.g. change detection analysis with the purpose of updating an existing geodatabase.