Cartographic Feature Extraction
نویسنده
چکیده
Of all tasks in photogrammetry the extraction of cartographic features is the most time consuming. Since the introduction of digital photogrammetry much attention therefore has been paid to the development of tools for a more efficient acquisition of cartographic features. Fully automatic acquisition of features like roads and buildings, however, appears to be very difficult and may even be impossible. The extraction of cartographic features from digital aerial imagery requires interpretation of this imagery. The knowledge one needs about the topographic objects and their appearances in aerial images in order to recognise these objects and extract the relevant object outlines is difficult to model and to implement in computer algorithms. Therefore, only limited success has been obtain in developing automatic cartographic feature extraction procedures. Human operators appear to be indispensable for a reliable interpretation of aerial images.
منابع مشابه
I. Project Title Automatic Road Extraction from Remotely Sensed Imagery II. Lead Investigators
Today satellite and airborne remote sensing systems can provide large volumes of data that are invaluable in monitoring Earth resources and the effects of human activities. However, from a mapping perspective, research in remote sensing has been focused on land use/land cover classification. Fewer individuals are involved in cultural feature extraction research (the detection, identification, c...
متن کاملAppears in American Society for Photogrammetry and Remote Sensing, 171-177, 1999. AN INTELLIGENT USER INTERFACE FOR FEATURE EXTRACTION FROM REMOTELY SENSED IMAGES
A geographic information system (GIS) is a powerful decision-support platform for environmental modeling and policy formulation. Before any analysis can be made, however, cartographic features need to be extracted from images and maintained in a database. The process of populating the database is estimated to be 60-80% of the cost of implementing a GIS. This bottleneck will only increase with t...
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Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...
متن کاملDevelopment of an Algorithm to Analyze Cartographic Features Extraction Methods in Digital Images
The algorithm creates a buffer area around the cartographic features of interest in one of the images and compare it with the other one. During the comparison, the algorithm calculates the number of equals and different points and uses it to calculate the statistical values of the analysis. One calculated statistical value is the correctness, which shows the user the percentage of points that w...
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Describing the quality of digital geodata in a geodatabase is required for many applications. We present our developments for automated quality control of the German topographic vector data set ATKIS using images. The automation comprises automatic cartographic feature extraction and comparison with ATKIS data, which both are triggered by additional knowledge derived from the existing scene des...
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