31 December 1996 Merging vector features extracted from imagery with GIS data using vector linking
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Abstract
Development of vector feature extraction techniques combined with large amounts of digital map data can create a rich database for intelligence activities. Our ability to use this data depends on understanding the relationships between different features and different representations of the same feature. Linking is the process of determining that two features in different layers represent the same object. Links between features in two or more layers can be used for: co-registering vector data from multiple sources, automatic revisions of linear data, feature attribute inheritance, or network transversal problems. One sample application uses linking for generating a database with features extracted from stereo imagery and attributes from existing DMA data sources. Time and personnel are limited resources. Therefore, the linking process needs to be automated. Two data sets are used -- pre-existing road data at 1:250 K scale (Set A) and stereo imagery used for extracting 1:50 K roads (Set B). Set A is richly attributed. We want the spatial accuracy of the roads from Set B and the attributes of the roads from Set A. Linking can match the two sets of roads. A new combined data set is created in several stages. Roads where a one-to-one linkage exists between A and B use the spatial data from Set B and the attributes from Set A. Roads that are unique in either set are added. Attributes are retained for the roads from Set A. This paper discusses a new technique for automatic feature linking developed at GDE Systems Inc. and demonstrated in a prototype. The prototype uses the characteristics of a linear vector feature to identify the same features from different sources and from different scales.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robine Lewis, Robine Lewis, } "Merging vector features extracted from imagery with GIS data using vector linking", Proc. SPIE 2960, Remote Sensing for Geography, Geology, Land Planning, and Cultural Heritage, (31 December 1996); doi: 10.1117/12.262469; https://doi.org/10.1117/12.262469
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